merge branch with master

2020-08-04 10:14:07 +02:00 · 2020-08-04 10:14:07 +02:00 · 5b651abf82
parent 901ae37f7b 88e4c3b751
commit 5b651abf82
37 changed files with 1182 additions and 213 deletions
--- a/dhp-schemas/src/main/java/eu/dnetlib/dhp/schema/common/ModelConstants.java
+++ b/dhp-schemas/src/main/java/eu/dnetlib/dhp/schema/common/ModelConstants.java
@ -7,6 +7,7 @@ import eu.dnetlib.dhp.schema.oaf.Qualifier;

 public class ModelConstants {

+	public static final String DNET_SUBJECT_TYPOLOGIES = "dnet:subject_classification_typologies";
 	public static final String DNET_RESULT_TYPOLOGIES = "dnet:result_typologies";
 	public static final String DNET_PUBLICATION_RESOURCE = "dnet:publication_resource";
 	public static final String DNET_ACCESS_MODES = "dnet:access_modes";
--- a/dhp-workflows/dhp-dedup-openaire/src/test/java/eu/dnetlib/dhp/oa/dedup/jpath/JsonPathTest.java
+++ b/dhp-workflows/dhp-dedup-openaire/src/test/java/eu/dnetlib/dhp/oa/dedup/jpath/JsonPathTest.java
@ -289,4 +289,12 @@ public class JsonPathTest {

 		System.out.println("d = " + d);
 	}
+
+	@Test
+	public void testNull() throws Exception {
+		final Object p = null;
+
+		System.out.println((String) p);
+
+	}
 }
--- a/dhp-workflows/dhp-dedup-scholexplorer/src/main/java/eu/dnetlib/dedup/DedupRecordFactory.java
+++ b/dhp-workflows/dhp-dedup-scholexplorer/src/main/java/eu/dnetlib/dedup/DedupRecordFactory.java
@ -6,6 +6,7 @@ import java.util.Collection;
 import org.apache.spark.api.java.JavaPairRDD;
 import org.apache.spark.api.java.JavaRDD;
 import org.apache.spark.api.java.JavaSparkContext;
+import org.apache.spark.api.java.function.MapFunction;
 import org.apache.spark.api.java.function.PairFunction;
 import org.apache.spark.sql.Encoders;
 import org.apache.spark.sql.SparkSession;
@ -15,6 +16,8 @@ import com.fasterxml.jackson.databind.ObjectMapper;
 import com.google.common.collect.Lists;

 import eu.dnetlib.dhp.schema.oaf.*;
+import eu.dnetlib.dhp.schema.scholexplorer.DLIDataset;
+import eu.dnetlib.dhp.schema.scholexplorer.DLIPublication;
 import eu.dnetlib.pace.config.DedupConfig;
 import eu.dnetlib.pace.util.MapDocumentUtil;
 import scala.Tuple2;
@ -30,10 +33,16 @@ public class DedupRecordFactory {
 		final DedupConfig dedupConf) {
 		long ts = System.currentTimeMillis();
 		// <id, json_entity>
-		final JavaPairRDD<String, String> inputJsonEntities = sc
-			.textFile(entitiesInputPath)
+		final JavaPairRDD<String, String> inputJsonEntities = spark
+			.read()
+			.load(entitiesInputPath)
+			.as(Encoders.kryo(Oaf.class))
+			.map(
+				(MapFunction<Oaf, String>) p -> new org.codehaus.jackson.map.ObjectMapper().writeValueAsString(p),
+				Encoders.STRING())
+			.javaRDD()
 			.mapToPair(
-				(PairFunction<String, String, String>) it -> new Tuple2<String, String>(
+				(PairFunction<String, String, String>) it -> new Tuple2<>(
 					MapDocumentUtil.getJPathString(dedupConf.getWf().getIdPath(), it), it));

 		// <source, target>: source is the dedup_id, target is the id of the mergedIn
@ -74,9 +83,9 @@ public class DedupRecordFactory {
 		}
 	}

-	private static Publication publicationMerger(Tuple2<String, Iterable<String>> e, final long ts) {
+	private static DLIPublication publicationMerger(Tuple2<String, Iterable<String>> e, final long ts) {

-		Publication p = new Publication(); // the result of the merge, to be returned at the end
+		DLIPublication p = new DLIPublication(); // the result of the merge, to be returned at the end

 		p.setId(e._1());

@ -110,9 +119,9 @@ public class DedupRecordFactory {
 		return p;
 	}

-	private static Dataset datasetMerger(Tuple2<String, Iterable<String>> e, final long ts) {
+	private static DLIDataset datasetMerger(Tuple2<String, Iterable<String>> e, final long ts) {

-		Dataset d = new Dataset(); // the result of the merge, to be returned at the end
+		DLIDataset d = new DLIDataset(); // the result of the merge, to be returned at the end

 		d.setId(e._1());

--- a/dhp-workflows/dhp-dedup-scholexplorer/src/main/java/eu/dnetlib/dedup/SparkCreateConnectedComponent.java
+++ b/dhp-workflows/dhp-dedup-scholexplorer/src/main/java/eu/dnetlib/dedup/SparkCreateConnectedComponent.java
@ -9,18 +9,21 @@ import org.apache.spark.api.java.JavaPairRDD;
 import org.apache.spark.api.java.JavaRDD;
 import org.apache.spark.api.java.JavaSparkContext;
 import org.apache.spark.api.java.function.FlatMapFunction;
+import org.apache.spark.api.java.function.MapFunction;
 import org.apache.spark.api.java.function.PairFunction;
 import org.apache.spark.graphx.Edge;
 import org.apache.spark.rdd.RDD;
 import org.apache.spark.sql.Dataset;
 import org.apache.spark.sql.Encoders;
 import org.apache.spark.sql.SparkSession;
+import org.codehaus.jackson.map.ObjectMapper;

 import com.google.common.hash.Hashing;

 import eu.dnetlib.dedup.graph.ConnectedComponent;
 import eu.dnetlib.dedup.graph.GraphProcessor;
 import eu.dnetlib.dhp.application.ArgumentApplicationParser;
+import eu.dnetlib.dhp.schema.oaf.Oaf;
 import eu.dnetlib.dhp.schema.oaf.Relation;
 import eu.dnetlib.pace.config.DedupConfig;
 import eu.dnetlib.pace.util.MapDocumentUtil;
@ -42,7 +45,6 @@ public class SparkCreateConnectedComponent {
 			.master(parser.get("master"))
 			.getOrCreate();

-		final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
 		final String inputPath = parser.get("sourcePath");
 		final String entity = parser.get("entity");
 		final String targetPath = parser.get("targetPath");
@ -50,8 +52,12 @@ public class SparkCreateConnectedComponent {
 		// DedupConfig.load(IOUtils.toString(SparkCreateConnectedComponent.class.getResourceAsStream("/eu/dnetlib/dhp/dedup/conf/org.curr.conf2.json")));
 		final DedupConfig dedupConf = DedupConfig.load(parser.get("dedupConf"));

-		final JavaPairRDD<Object, String> vertexes = sc
-			.textFile(inputPath + "/" + entity)
+		final JavaPairRDD<Object, String> vertexes = spark
+			.read()
+			.load(inputPath + "/" + entity)
+			.as(Encoders.kryo(Oaf.class))
+			.map((MapFunction<Oaf, String>) p -> new ObjectMapper().writeValueAsString(p), Encoders.STRING())
+			.javaRDD()
 			.map(s -> MapDocumentUtil.getJPathString(dedupConf.getWf().getIdPath(), s))
 			.mapToPair(
 				(PairFunction<String, Object, String>) s -> new Tuple2<Object, String>(getHashcode(s), s));
--- a/dhp-workflows/dhp-dedup-scholexplorer/src/main/java/eu/dnetlib/dedup/SparkCreateDedupRecord.java
+++ b/dhp-workflows/dhp-dedup-scholexplorer/src/main/java/eu/dnetlib/dedup/SparkCreateDedupRecord.java
@ -4,10 +4,10 @@ package eu.dnetlib.dedup;
 import org.apache.commons.io.IOUtils;
 import org.apache.spark.api.java.JavaRDD;
 import org.apache.spark.api.java.JavaSparkContext;
+import org.apache.spark.sql.Encoders;
+import org.apache.spark.sql.SaveMode;
 import org.apache.spark.sql.SparkSession;

-import com.fasterxml.jackson.databind.ObjectMapper;
-
 import eu.dnetlib.dhp.application.ArgumentApplicationParser;
 import eu.dnetlib.dhp.schema.oaf.OafEntity;
 import eu.dnetlib.pace.config.DedupConfig;
@ -41,12 +41,19 @@ public class SparkCreateDedupRecord {
 				DedupUtility.createEntityPath(sourcePath, entity),
 				OafEntityType.valueOf(entity),
 				dedupConf);
-		dedupRecord
-			.map(
-				r -> {
-					ObjectMapper mapper = new ObjectMapper();
-					return mapper.writeValueAsString(r);
-				})
-			.saveAsTextFile(dedupPath + "/" + entity + "/dedup_records");
+		spark
+			.createDataset(dedupRecord.rdd(), Encoders.kryo(OafEntity.class))
+			.write()
+			.mode(SaveMode.Overwrite)
+			.save(dedupPath + "/" + entity + "/dedup_records");
+//
+//
+//		dedupRecord
+//			.map(
+//				r -> {
+//					ObjectMapper mapper = new ObjectMapper();
+//					return mapper.writeValueAsString(r);
+//				})
+//			.saveAsTextFile(dedupPath + "/" + entity + "/dedup_records");
 	}
 }
--- a/dhp-workflows/dhp-dedup-scholexplorer/src/main/java/eu/dnetlib/dedup/SparkCreateSimRels.java
+++ b/dhp-workflows/dhp-dedup-scholexplorer/src/main/java/eu/dnetlib/dedup/SparkCreateSimRels.java
@ -7,10 +7,13 @@ import org.apache.commons.io.IOUtils;
 import org.apache.spark.api.java.JavaPairRDD;
 import org.apache.spark.api.java.JavaRDD;
 import org.apache.spark.api.java.JavaSparkContext;
+import org.apache.spark.api.java.function.MapFunction;
 import org.apache.spark.sql.Encoders;
 import org.apache.spark.sql.SparkSession;
+import org.codehaus.jackson.map.ObjectMapper;

 import eu.dnetlib.dhp.application.ArgumentApplicationParser;
+import eu.dnetlib.dhp.schema.oaf.Oaf;
 import eu.dnetlib.dhp.schema.oaf.Relation;
 import eu.dnetlib.pace.config.DedupConfig;
 import eu.dnetlib.pace.model.MapDocument;
@ -46,8 +49,12 @@ public class SparkCreateSimRels {
 		// DedupConfig.load(IOUtils.toString(SparkCreateSimRels.class.getResourceAsStream("/eu/dnetlib/dhp/dedup/conf/org.curr.conf.json")));
 		final DedupConfig dedupConf = DedupConfig.load(parser.get("dedupConf"));

-		JavaPairRDD<String, MapDocument> mapDocument = sc
-			.textFile(inputPath + "/" + entity)
+		JavaPairRDD<String, MapDocument> mapDocument = spark
+			.read()
+			.load(inputPath + "/" + entity)
+			.as(Encoders.kryo(Oaf.class))
+			.map((MapFunction<Oaf, String>) p -> new ObjectMapper().writeValueAsString(p), Encoders.STRING())
+			.javaRDD()
 			.mapToPair(
 				s -> {
 					MapDocument d = MapDocumentUtil.asMapDocumentWithJPath(dedupConf, s);
--- a/dhp-workflows/dhp-dedup-scholexplorer/src/main/java/eu/dnetlib/dedup/sx/SparkPropagateRelationsJob.java
+++ b/dhp-workflows/dhp-dedup-scholexplorer/src/main/java/eu/dnetlib/dedup/sx/SparkPropagateRelationsJob.java
@ -14,16 +14,11 @@ import com.fasterxml.jackson.databind.ObjectMapper;
 import eu.dnetlib.dhp.application.ArgumentApplicationParser;
 import eu.dnetlib.dhp.schema.oaf.DataInfo;
 import eu.dnetlib.dhp.schema.oaf.Relation;
+import eu.dnetlib.dhp.schema.scholexplorer.DLIRelation;
 import eu.dnetlib.dhp.utils.DHPUtils;
 import scala.Tuple2;

 public class SparkPropagateRelationsJob {
-	enum FieldType {
-		SOURCE, TARGET
-	}
-
-	static final String SOURCEJSONPATH = "$.source";
-	static final String TARGETJSONPATH = "$.target";

 	public static void main(String[] args) throws Exception {
 		final ArgumentApplicationParser parser = new ArgumentApplicationParser(
@ -39,7 +34,6 @@ public class SparkPropagateRelationsJob {
 			.master(parser.get("master"))
 			.getOrCreate();

-		final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
 		final String relationPath = parser.get("relationPath");
 		final String mergeRelPath = parser.get("mergeRelPath");
 		final String targetRelPath = parser.get("targetRelPath");
@ -50,63 +44,38 @@ public class SparkPropagateRelationsJob {
 			.as(Encoders.bean(Relation.class))
 			.where("relClass == 'merges'");

-		final Dataset<Relation> rels = spark.read().load(relationPath).as(Encoders.bean(Relation.class));
+		final Dataset<DLIRelation> rels = spark
+			.read()
+			.load(relationPath)
+			.as(Encoders.kryo(DLIRelation.class))
+			.map(
+				(MapFunction<DLIRelation, DLIRelation>) r -> r,
+				Encoders.bean(DLIRelation.class));

-		final Dataset<Relation> firstJoin = rels
+		final Dataset<DLIRelation> firstJoin = rels
 			.joinWith(merge, merge.col("target").equalTo(rels.col("source")), "left_outer")
 			.map(
-				(MapFunction<Tuple2<Relation, Relation>, Relation>) r -> {
+				(MapFunction<Tuple2<DLIRelation, Relation>, DLIRelation>) r -> {
 					final Relation mergeRelation = r._2();
-					final Relation relation = r._1();
-
+					final DLIRelation relation = r._1();
 					if (mergeRelation != null)
 						relation.setSource(mergeRelation.getSource());
 					return relation;
 				},
-				Encoders.bean(Relation.class));
+				Encoders.bean(DLIRelation.class));

-		final Dataset<Relation> secondJoin = firstJoin
+		final Dataset<DLIRelation> secondJoin = firstJoin
 			.joinWith(merge, merge.col("target").equalTo(firstJoin.col("target")), "left_outer")
 			.map(
-				(MapFunction<Tuple2<Relation, Relation>, Relation>) r -> {
+				(MapFunction<Tuple2<DLIRelation, Relation>, DLIRelation>) r -> {
 					final Relation mergeRelation = r._2();
-					final Relation relation = r._1();
+					final DLIRelation relation = r._1();
 					if (mergeRelation != null)
 						relation.setTarget(mergeRelation.getSource());
 					return relation;
 				},
-				Encoders.bean(Relation.class));
+				Encoders.kryo(DLIRelation.class));

 		secondJoin.write().mode(SaveMode.Overwrite).save(targetRelPath);
 	}
-
-	private static boolean containsDedup(final String json) {
-		final String source = DHPUtils.getJPathString(SOURCEJSONPATH, json);
-		final String target = DHPUtils.getJPathString(TARGETJSONPATH, json);
-
-		return source.toLowerCase().contains("dedup") || target.toLowerCase().contains("dedup");
-	}
-
-	private static String replaceField(final String json, final String id, final FieldType type) {
-		ObjectMapper mapper = new ObjectMapper();
-		mapper.configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false);
-		try {
-			Relation relation = mapper.readValue(json, Relation.class);
-			if (relation.getDataInfo() == null)
-				relation.setDataInfo(new DataInfo());
-			relation.getDataInfo().setDeletedbyinference(false);
-			switch (type) {
-				case SOURCE:
-					relation.setSource(id);
-					return mapper.writeValueAsString(relation);
-				case TARGET:
-					relation.setTarget(id);
-					return mapper.writeValueAsString(relation);
-				default:
-					throw new IllegalArgumentException("");
-			}
-		} catch (IOException e) {
-			throw new RuntimeException("unable to deserialize json relation: " + json, e);
-		}
-	}
 }
--- a/dhp-workflows/dhp-dedup-scholexplorer/src/main/java/eu/dnetlib/dedup/sx/SparkUpdateEntityWithDedupInfo.scala
+++ b/dhp-workflows/dhp-dedup-scholexplorer/src/main/java/eu/dnetlib/dedup/sx/SparkUpdateEntityWithDedupInfo.scala
@ -0,0 +1,75 @@
+package eu.dnetlib.dedup.sx
+
+import eu.dnetlib.dhp.application.ArgumentApplicationParser
+import eu.dnetlib.dhp.schema.oaf.{Oaf, OafEntity, Relation}
+import eu.dnetlib.dhp.schema.scholexplorer.{DLIDataset, DLIPublication, DLIRelation, DLIUnknown, OafUtils}
+import org.apache.commons.io.IOUtils
+import org.apache.spark.sql.{Dataset, Encoder, Encoders, SaveMode, SparkSession}
+import org.slf4j.LoggerFactory
+import org.apache.spark.sql.functions.col
+
+object SparkUpdateEntityWithDedupInfo {
+
+  def main(args: Array[String]): Unit = {
+    val parser = new ArgumentApplicationParser(IOUtils.toString(SparkUpdateEntityWithDedupInfo.getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/argumentparser/input_extract_entities_parameters.json")))
+    val logger = LoggerFactory.getLogger(SparkUpdateEntityWithDedupInfo.getClass)
+    parser.parseArgument(args)
+
+    val workingPath: String = parser.get("workingPath")
+    logger.info(s"Working dir path = $workingPath")
+
+    implicit val oafEncoder: Encoder[OafEntity] = Encoders.kryo[OafEntity]
+    implicit val relEncoder: Encoder[Relation] = Encoders.bean(classOf[Relation])
+
+    implicit val pubEncoder: Encoder[DLIPublication] = Encoders.kryo[DLIPublication]
+    implicit val datEncoder: Encoder[DLIDataset] = Encoders.kryo[DLIDataset]
+    implicit val unkEncoder: Encoder[DLIUnknown] = Encoders.kryo[DLIUnknown]
+    implicit val dlirelEncoder: Encoder[DLIRelation] = Encoders.kryo[DLIRelation]
+
+
+    val spark: SparkSession = SparkSession
+      .builder()
+      .appName(SparkUpdateEntityWithDedupInfo.getClass.getSimpleName)
+      .master(parser.get("master"))
+      .getOrCreate()
+
+
+    val entityPath = parser.get("entityPath")
+    val mergeRelPath = parser.get("mergeRelPath")
+    val dedupRecordPath = parser.get("dedupRecordPath")
+    val entity = parser.get("entity")
+    val destination = parser.get("targetPath")
+
+    val mergedIds = spark.read.load(mergeRelPath).as[Relation]
+      .where("relClass == 'merges'")
+      .select(col("target"))
+
+
+    val entities: Dataset[(String, OafEntity)] = spark
+      .read
+      .load(entityPath).as[OafEntity]
+      .map(o => (o.getId, o))(Encoders.tuple(Encoders.STRING, oafEncoder))
+
+
+    val finalDataset:Dataset[OafEntity] = entities.joinWith(mergedIds, entities("_1").equalTo(mergedIds("target")), "left")
+      .map(k => {
+        val e: OafEntity = k._1._2
+        val t = k._2
+        if (t != null && t.getString(0).nonEmpty) {
+          if (e.getDataInfo == null) {
+            e.setDataInfo(OafUtils.generateDataInfo())
+          }
+          e.getDataInfo.setDeletedbyinference(true)
+        }
+        e
+      })
+
+    val dedupRecords :Dataset[OafEntity] = spark.read.load(dedupRecordPath).as[OafEntity]
+
+    finalDataset.union(dedupRecords)
+      .repartition(1200).write
+      .mode(SaveMode.Overwrite).save(destination)
+
+  }
+
+}
--- a/dhp-workflows/dhp-dedup-scholexplorer/src/main/resources/eu/dnetlib/dhp/sx/dedup/oozie_app/workflow.xml
+++ b/dhp-workflows/dhp-dedup-scholexplorer/src/main/resources/eu/dnetlib/dhp/sx/dedup/oozie_app/workflow.xml
@ -144,7 +144,7 @@
            <master>yarn-cluster</master>
            <mode>cluster</mode>
            <name>Update ${entity} and add DedupRecord</name>
-            <class>eu.dnetlib.dedup.sx.SparkUpdateEntityJob</class>
+            <class>eu.dnetlib.dedup.sx.SparkUpdateEntityWithDedupInfo</class>
            <jar>dhp-dedup-scholexplorer-${projectVersion}.jar</jar>
            <spark-opts>
                --executor-memory ${sparkExecutorMemory}
--- a/dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/bulktag/community/QueryInformationSystem.java
+++ b/dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/bulktag/community/QueryInformationSystem.java
@ -19,7 +19,7 @@ public class QueryInformationSystem {
 		+ "  let $communities := $x//CONFIGURATION/context/category[./@id=concat($x//CONFIGURATION/context/@id,'::zenodocommunities')]/concept  "
 		+
 		"let $zenodo := $x//param[./@name='zenodoCommunity']/text() "
-		+ "  where $x//CONFIGURATION/context[./@type='community' or ./@type='ri']  "
+		+ "  where $x//CONFIGURATION/context[./@type='community' or ./@type='ri'] and $x//context/param[./@name = 'status']/text() != 'hidden' "
 		+ "  return  "
 		+ "  <community>  "
 		+ "  { $x//CONFIGURATION/context/@id}  "
--- a/dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/bulktag/community/ResultTagger.java
+++ b/dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/bulktag/community/ResultTagger.java
@ -20,8 +20,6 @@ import eu.dnetlib.dhp.schema.oaf.*;
 /** Created by miriam on 02/08/2018. */
 public class ResultTagger implements Serializable {

-	private String trust = "0.8";
-
 	private boolean clearContext(Result result) {
 		int tmp = result.getContext().size();
 		List<Context> clist = result
@ -171,21 +169,24 @@ public class ResultTagger implements Serializable {
 									getDataInfo(
 										BULKTAG_DATA_INFO_TYPE,
 										CLASS_ID_SUBJECT,
-										CLASS_NAME_BULKTAG_SUBJECT));
+										CLASS_NAME_BULKTAG_SUBJECT,
+										TAGGING_TRUST));
 						if (datasources.contains(c.getId()))
 							dataInfoList
 								.add(
 									getDataInfo(
 										BULKTAG_DATA_INFO_TYPE,
 										CLASS_ID_DATASOURCE,
-										CLASS_NAME_BULKTAG_DATASOURCE));
+										CLASS_NAME_BULKTAG_DATASOURCE,
+										TAGGING_TRUST));
 						if (czenodo.contains(c.getId()))
 							dataInfoList
 								.add(
 									getDataInfo(
 										BULKTAG_DATA_INFO_TYPE,
 										CLASS_ID_CZENODO,
-										CLASS_NAME_BULKTAG_ZENODO));
+										CLASS_NAME_BULKTAG_ZENODO,
+										TAGGING_TRUST));
 					}
 					return c;
 				})
@ -211,21 +212,24 @@ public class ResultTagger implements Serializable {
 								getDataInfo(
 									BULKTAG_DATA_INFO_TYPE,
 									CLASS_ID_SUBJECT,
-									CLASS_NAME_BULKTAG_SUBJECT));
+									CLASS_NAME_BULKTAG_SUBJECT,
+									TAGGING_TRUST));
 					if (datasources.contains(c))
 						dataInfoList
 							.add(
 								getDataInfo(
 									BULKTAG_DATA_INFO_TYPE,
 									CLASS_ID_DATASOURCE,
-									CLASS_NAME_BULKTAG_DATASOURCE));
+									CLASS_NAME_BULKTAG_DATASOURCE,
+									TAGGING_TRUST));
 					if (czenodo.contains(c))
 						dataInfoList
 							.add(
 								getDataInfo(
 									BULKTAG_DATA_INFO_TYPE,
 									CLASS_ID_CZENODO,
-									CLASS_NAME_BULKTAG_ZENODO));
+									CLASS_NAME_BULKTAG_ZENODO,
+									TAGGING_TRUST));
 					context.setDataInfo(dataInfoList);
 					return context;
 				})
@ -236,11 +240,12 @@ public class ResultTagger implements Serializable {
 	}

 	public static DataInfo getDataInfo(
-		String inference_provenance, String inference_class_id, String inference_class_name) {
+		String inference_provenance, String inference_class_id, String inference_class_name, String trust) {
 		DataInfo di = new DataInfo();
 		di.setInferred(true);
 		di.setInferenceprovenance(inference_provenance);
 		di.setProvenanceaction(getQualifier(inference_class_id, inference_class_name));
+		di.setTrust(trust);
 		return di;
 	}

--- a/dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/bulktag/community/TaggingConstants.java
+++ b/dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/bulktag/community/TaggingConstants.java
@ -14,4 +14,6 @@ public class TaggingConstants {
 	public static final String CLASS_NAME_BULKTAG_SUBJECT = "Bulktagging for Community - Subject";
 	public static final String CLASS_NAME_BULKTAG_DATASOURCE = "Bulktagging for Community - Datasource";
 	public static final String CLASS_NAME_BULKTAG_ZENODO = "Bulktagging for Community - Zenodo";
+
+	public static final String TAGGING_TRUST = "0.8";
 }
--- a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/clean/CleanGraphSparkJob.java
+++ b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/clean/CleanGraphSparkJob.java
@ -90,6 +90,7 @@ public class CleanGraphSparkJob {
 		final CleaningRuleMap mapping = CleaningRuleMap.create(vocs);

 		readTableFromPath(spark, inputPath, clazz)
+			.map((MapFunction<T, T>) value -> fixVocabularyNames(value), Encoders.bean(clazz))
 			.map((MapFunction<T, T>) value -> OafCleaner.apply(value, mapping), Encoders.bean(clazz))
 			.map((MapFunction<T, T>) value -> fixDefaults(value), Encoders.bean(clazz))
 			.write()
@ -98,6 +99,65 @@ public class CleanGraphSparkJob {
 			.json(outputPath);
 	}

+	protected static <T extends Oaf> T fixVocabularyNames(T value) {
+		if (value instanceof Datasource) {
+			// nothing to clean here
+		} else if (value instanceof Project) {
+			// nothing to clean here
+		} else if (value instanceof Organization) {
+			Organization o = (Organization) value;
+			if (Objects.nonNull(o.getCountry())) {
+				fixVocabName(o.getCountry(), ModelConstants.DNET_COUNTRY_TYPE);
+			}
+		} else if (value instanceof Relation) {
+			// nothing to clean here
+		} else if (value instanceof Result) {
+
+			Result r = (Result) value;
+
+			fixVocabName(r.getLanguage(), ModelConstants.DNET_LANGUAGES);
+			fixVocabName(r.getResourcetype(), ModelConstants.DNET_DATA_CITE_RESOURCE);
+			fixVocabName(r.getBestaccessright(), ModelConstants.DNET_ACCESS_MODES);
+
+			if (Objects.nonNull(r.getSubject())) {
+				r.getSubject().forEach(s -> fixVocabName(s.getQualifier(), ModelConstants.DNET_SUBJECT_TYPOLOGIES));
+			}
+			if (Objects.nonNull(r.getInstance())) {
+				for (Instance i : r.getInstance()) {
+					fixVocabName(i.getAccessright(), ModelConstants.DNET_ACCESS_MODES);
+					fixVocabName(i.getRefereed(), ModelConstants.DNET_REVIEW_LEVELS);
+				}
+			}
+			if (Objects.nonNull(r.getAuthor())) {
+				r.getAuthor().forEach(a -> {
+					if (Objects.nonNull(a.getPid())) {
+						a.getPid().forEach(p -> {
+							fixVocabName(p.getQualifier(), ModelConstants.DNET_PID_TYPES);
+						});
+					}
+				});
+			}
+			if (value instanceof Publication) {
+
+			} else if (value instanceof eu.dnetlib.dhp.schema.oaf.Dataset) {
+
+			} else if (value instanceof OtherResearchProduct) {
+
+			} else if (value instanceof Software) {
+
+			}
+		}
+
+		return value;
+	}
+
+	private static void fixVocabName(Qualifier q, String vocabularyName) {
+		if (Objects.nonNull(q) && StringUtils.isBlank(q.getSchemeid())) {
+			q.setSchemeid(vocabularyName);
+			q.setSchemename(vocabularyName);
+		}
+	}
+
 	protected static <T extends Oaf> T fixDefaults(T value) {
 		if (value instanceof Datasource) {
 			// nothing to clean here
@ -113,6 +173,9 @@ public class CleanGraphSparkJob {
 		} else if (value instanceof Result) {

 			Result r = (Result) value;
+			if (Objects.nonNull(r.getPublisher()) && StringUtils.isBlank(r.getPublisher().getValue())) {
+				r.setPublisher(null);
+			}
 			if (Objects.isNull(r.getLanguage()) || StringUtils.isBlank(r.getLanguage().getClassid())) {
 				r
 					.setLanguage(
--- a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/raw/MigrateDbEntitiesApplication.java
+++ b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/raw/MigrateDbEntitiesApplication.java
@ -44,6 +44,7 @@ import java.util.Date;
 import java.util.List;
 import java.util.function.Consumer;
 import java.util.function.Function;
+import java.util.function.Predicate;

 import org.apache.commons.io.IOUtils;
 import org.apache.commons.lang3.StringUtils;
@ -53,6 +54,7 @@ import org.slf4j.LoggerFactory;
 import eu.dnetlib.dhp.application.ArgumentApplicationParser;
 import eu.dnetlib.dhp.common.DbClient;
 import eu.dnetlib.dhp.oa.graph.raw.common.AbstractMigrationApplication;
+import eu.dnetlib.dhp.oa.graph.raw.common.VerifyNsPrefixPredicate;
 import eu.dnetlib.dhp.oa.graph.raw.common.VocabularyGroup;
 import eu.dnetlib.dhp.schema.oaf.Context;
 import eu.dnetlib.dhp.schema.oaf.DataInfo;
@ -113,6 +115,11 @@ public class MigrateDbEntitiesApplication extends AbstractMigrationApplication i
 		final String hdfsPath = parser.get("hdfsPath");
 		log.info("hdfsPath: {}", hdfsPath);

+		final String nsPrefixBlacklist = parser.get("nsPrefixBlacklist");
+		log.info("nsPrefixBlacklist: {}", nsPrefixBlacklist);
+
+		final Predicate<Oaf> verifyNamespacePrefix = new VerifyNsPrefixPredicate(nsPrefixBlacklist);
+
 		final boolean processClaims = parser.get("action") != null && parser.get("action").equalsIgnoreCase("claims");
 		log.info("processClaims: {}", processClaims);

@ -123,23 +130,25 @@ public class MigrateDbEntitiesApplication extends AbstractMigrationApplication i
 				smdbe.execute("queryClaims.sql", smdbe::processClaims);
 			} else {
 				log.info("Processing datasources...");
-				smdbe.execute("queryDatasources.sql", smdbe::processDatasource);
+				smdbe.execute("queryDatasources.sql", smdbe::processDatasource, verifyNamespacePrefix);

 				log.info("Processing projects...");
 				if (dbSchema.equalsIgnoreCase("beta")) {
-					smdbe.execute("queryProjects.sql", smdbe::processProject);
+					smdbe.execute("queryProjects.sql", smdbe::processProject, verifyNamespacePrefix);
 				} else {
-					smdbe.execute("queryProjects_production.sql", smdbe::processProject);
+					smdbe.execute("queryProjects_production.sql", smdbe::processProject, verifyNamespacePrefix);
 				}

 				log.info("Processing orgs...");
-				smdbe.execute("queryOrganizations.sql", smdbe::processOrganization);
+				smdbe.execute("queryOrganizations.sql", smdbe::processOrganization, verifyNamespacePrefix);

 				log.info("Processing relationsNoRemoval ds <-> orgs ...");
-				smdbe.execute("queryDatasourceOrganization.sql", smdbe::processDatasourceOrganization);
+				smdbe
+					.execute(
+						"queryDatasourceOrganization.sql", smdbe::processDatasourceOrganization, verifyNamespacePrefix);

 				log.info("Processing projects <-> orgs ...");
-				smdbe.execute("queryProjectOrganization.sql", smdbe::processProjectOrganization);
+				smdbe.execute("queryProjectOrganization.sql", smdbe::processProjectOrganization, verifyNamespacePrefix);
 			}
 			log.info("All done.");
 		}
@ -163,10 +172,20 @@ public class MigrateDbEntitiesApplication extends AbstractMigrationApplication i
 	}

 	public void execute(final String sqlFile, final Function<ResultSet, List<Oaf>> producer)
+		throws Exception {
+		execute(sqlFile, producer, oaf -> true);
+	}
+
+	public void execute(final String sqlFile, final Function<ResultSet, List<Oaf>> producer,
+		final Predicate<Oaf> predicate)
 		throws Exception {
 		final String sql = IOUtils.toString(getClass().getResourceAsStream("/eu/dnetlib/dhp/oa/graph/sql/" + sqlFile));

-		final Consumer<ResultSet> consumer = rs -> producer.apply(rs).forEach(oaf -> emitOaf(oaf));
+		final Consumer<ResultSet> consumer = rs -> producer.apply(rs).forEach(oaf -> {
+			if (predicate.test(oaf)) {
+				emitOaf(oaf);
+			}
+		});

 		dbClient.processResults(sql, consumer);
 	}
--- a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/raw/common/VerifyNsPrefixPredicate.java
+++ b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/raw/common/VerifyNsPrefixPredicate.java
@ -0,0 +1,62 @@
+
+package eu.dnetlib.dhp.oa.graph.raw.common;
+
+import java.util.HashSet;
+import java.util.Set;
+import java.util.function.Predicate;
+import java.util.regex.Pattern;
+
+import org.apache.commons.lang3.StringUtils;
+
+import com.google.common.base.Splitter;
+
+import eu.dnetlib.dhp.schema.oaf.Datasource;
+import eu.dnetlib.dhp.schema.oaf.Oaf;
+import eu.dnetlib.dhp.schema.oaf.OafEntity;
+import eu.dnetlib.dhp.schema.oaf.Relation;
+
+/**
+ * This predicate should be used to skip oaf objects using a blacklist of nsprefixes.
+ *
+ * @author michele
+ */
+public class VerifyNsPrefixPredicate implements Predicate<Oaf> {
+
+	final Set<String> invalids = new HashSet<>();
+
+	public VerifyNsPrefixPredicate(final String blacklist) {
+		if (StringUtils.isNotBlank(blacklist)) {
+			Splitter
+				.on(",")
+				.trimResults()
+				.omitEmptyStrings()
+				.split(blacklist)
+				.forEach(invalids::add);
+		}
+	}
+
+	@Override
+	public boolean test(final Oaf oaf) {
+		if (oaf instanceof Datasource) {
+			return testValue(((Datasource) oaf).getNamespaceprefix().getValue());
+		} else if (oaf instanceof OafEntity) {
+			return testValue(((OafEntity) oaf).getId());
+		} else if (oaf instanceof Relation) {
+			return testValue(((Relation) oaf).getSource()) && testValue(((Relation) oaf).getTarget());
+		} else {
+			return true;
+		}
+	}
+
+	protected boolean testValue(final String s) {
+		if (StringUtils.isNotBlank(s)) {
+			for (final String invalid : invalids) {
+				if (Pattern.matches("^(\\d\\d\\|)?" + invalid + ".*$", s)) {
+					return false;
+				}
+			}
+		}
+		return true;
+	}
+
+}
--- a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/sx/ebi/EBIAggregator.scala
+++ b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/sx/ebi/EBIAggregator.scala
@ -1,5 +1,6 @@
 package eu.dnetlib.dhp.sx.ebi
 import eu.dnetlib.dhp.schema.oaf.{Publication, Relation, Dataset => OafDataset}
+import eu.dnetlib.dhp.schema.scholexplorer.{DLIDataset, DLIPublication, DLIRelation, DLIUnknown}
 import org.apache.spark.sql.{Encoder, Encoders}
 import org.apache.spark.sql.expressions.Aggregator

@ -35,6 +36,88 @@ object EBIAggregator {
  }


+
+  def getDLIUnknownAggregator(): Aggregator[(String, DLIUnknown), DLIUnknown, DLIUnknown] = new Aggregator[(String, DLIUnknown), DLIUnknown, DLIUnknown]{
+
+    override def zero: DLIUnknown = new DLIUnknown()
+
+    override def reduce(b: DLIUnknown, a: (String, DLIUnknown)): DLIUnknown = {
+      b.mergeFrom(a._2)
+      if (b.getId == null)
+        b.setId(a._2.getId)
+      b
+    }
+
+    override def merge(wx: DLIUnknown, wy: DLIUnknown): DLIUnknown = {
+      wx.mergeFrom(wy)
+      if(wx.getId == null && wy.getId.nonEmpty)
+        wx.setId(wy.getId)
+      wx
+    }
+    override def finish(reduction: DLIUnknown): DLIUnknown = reduction
+
+    override def bufferEncoder: Encoder[DLIUnknown] =
+      Encoders.kryo(classOf[DLIUnknown])
+
+    override def outputEncoder: Encoder[DLIUnknown] =
+      Encoders.kryo(classOf[DLIUnknown])
+  }
+
+  def getDLIDatasetAggregator(): Aggregator[(String, DLIDataset), DLIDataset, DLIDataset] = new Aggregator[(String, DLIDataset), DLIDataset, DLIDataset]{
+
+    override def zero: DLIDataset = new DLIDataset()
+
+    override def reduce(b: DLIDataset, a: (String, DLIDataset)): DLIDataset = {
+      b.mergeFrom(a._2)
+      if (b.getId == null)
+        b.setId(a._2.getId)
+      b
+    }
+
+    override def merge(wx: DLIDataset, wy: DLIDataset): DLIDataset = {
+      wx.mergeFrom(wy)
+      if(wx.getId == null && wy.getId.nonEmpty)
+        wx.setId(wy.getId)
+      wx
+    }
+    override def finish(reduction: DLIDataset): DLIDataset = reduction
+
+    override def bufferEncoder: Encoder[DLIDataset] =
+      Encoders.kryo(classOf[DLIDataset])
+
+    override def outputEncoder: Encoder[DLIDataset] =
+      Encoders.kryo(classOf[DLIDataset])
+  }
+
+
+  def getDLIPublicationAggregator(): Aggregator[(String, DLIPublication), DLIPublication, DLIPublication] = new Aggregator[(String, DLIPublication), DLIPublication, DLIPublication]{
+
+    override def zero: DLIPublication = new DLIPublication()
+
+    override def reduce(b: DLIPublication, a: (String, DLIPublication)): DLIPublication = {
+      b.mergeFrom(a._2)
+      if (b.getId == null)
+        b.setId(a._2.getId)
+      b
+    }
+
+
+    override def merge(wx: DLIPublication, wy: DLIPublication): DLIPublication = {
+      wx.mergeFrom(wy)
+      if(wx.getId == null && wy.getId.nonEmpty)
+        wx.setId(wy.getId)
+      wx
+    }
+    override def finish(reduction: DLIPublication): DLIPublication = reduction
+
+    override def bufferEncoder: Encoder[DLIPublication] =
+      Encoders.kryo(classOf[DLIPublication])
+
+    override def outputEncoder: Encoder[DLIPublication] =
+      Encoders.kryo(classOf[DLIPublication])
+  }
+
+
  def getPublicationAggregator(): Aggregator[(String, Publication), Publication, Publication] = new Aggregator[(String, Publication), Publication, Publication]{

    override def zero: Publication = new Publication()
@ -85,5 +168,27 @@ object EBIAggregator {
  }


+  def getDLIRelationAggregator(): Aggregator[(String, DLIRelation), DLIRelation, DLIRelation] = new Aggregator[(String, DLIRelation), DLIRelation, DLIRelation]{
+
+    override def zero: DLIRelation = new DLIRelation()
+
+    override def reduce(b: DLIRelation, a: (String, DLIRelation)): DLIRelation = {
+      a._2
+    }
+
+
+    override def merge(a: DLIRelation, b: DLIRelation): DLIRelation = {
+      if(b!= null) b else a
+    }
+    override def finish(reduction: DLIRelation): DLIRelation = reduction
+
+    override def bufferEncoder: Encoder[DLIRelation] =
+      Encoders.kryo(classOf[DLIRelation])
+
+    override def outputEncoder: Encoder[DLIRelation] =
+      Encoders.kryo(classOf[DLIRelation])
+  }
+
+

 }
--- a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/sx/ebi/SparkAddLinkUpdates.scala
+++ b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/sx/ebi/SparkAddLinkUpdates.scala
@ -1,8 +1,9 @@
 package eu.dnetlib.dhp.sx.ebi
 import eu.dnetlib.dhp.application.ArgumentApplicationParser
-import eu.dnetlib.dhp.schema.oaf.{Instance, KeyValue, Oaf}
+import eu.dnetlib.dhp.schema.oaf.{Author, Instance, Journal, KeyValue, Oaf, Publication, Dataset => OafDataset}
 import eu.dnetlib.dhp.schema.scholexplorer.OafUtils.createQualifier
-import eu.dnetlib.dhp.schema.scholexplorer.{DLIDataset, DLIRelation, OafUtils, ProvenaceInfo}
+import eu.dnetlib.dhp.schema.scholexplorer.{DLIDataset, DLIPublication, DLIRelation, OafUtils, ProvenaceInfo}
+import eu.dnetlib.dhp.sx.ebi.model.{PMArticle, PMAuthor, PMJournal}
 import eu.dnetlib.dhp.utils.DHPUtils
 import eu.dnetlib.scholexplorer.relation.RelationMapper
 import org.apache.commons.io.IOUtils
@ -12,6 +13,7 @@ import org.json4s
 import org.json4s.DefaultFormats
 import org.json4s.JsonAST.{JField, JObject, JString}
 import org.json4s.jackson.JsonMethods.parse
+import org.apache.spark.sql.functions._

 import scala.collection.JavaConverters._

@ -28,6 +30,64 @@ case class EBILinks(relation:String, pubdate:String, tpid:String, tpidType:Strin
  }


+
+  def journalToOAF(pj:PMJournal): Journal = {
+    val j = new Journal
+    j.setIssnPrinted(pj.getIssn)
+    j.setVol(pj.getVolume)
+    j.setName(pj.getTitle)
+    j.setIss(pj.getIssue)
+    j.setDataInfo(OafUtils.generateDataInfo())
+    j
+  }
+
+
+  def pubmedTOPublication(input:PMArticle):DLIPublication = {
+
+
+    val dnetPublicationId = s"50|${DHPUtils.md5(s"${input.getPmid}::pmid")}"
+
+    val p = new DLIPublication
+    p.setId(dnetPublicationId)
+    p.setDataInfo(OafUtils.generateDataInfo())
+    p.setPid(List(OafUtils.createSP(input.getPmid.toLowerCase.trim, "pmid", "dnet:pid_types")).asJava)
+    p.setCompletionStatus("complete")
+    val pi = new ProvenaceInfo
+    pi.setId("dli_________::europe_pmc__")
+    pi.setName( "Europe PMC")
+    pi.setCompletionStatus("complete")
+    pi.setCollectionMode("collected")
+    p.setDlicollectedfrom(List(pi).asJava)
+    p.setCollectedfrom(List(generatePubmedDLICollectedFrom()).asJava)
+
+    if (input.getAuthors != null && input.getAuthors.size() >0) {
+      var aths: List[Author] = List()
+      input.getAuthors.asScala.filter(a=> a!= null).foreach(a => {
+        val c = new Author
+        c.setFullname(a.getFullName)
+        c.setName(a.getForeName)
+        c.setSurname(a.getLastName)
+        aths =  aths ::: List(c)
+      })
+      if (aths.nonEmpty)
+        p.setAuthor(aths.asJava)
+    }
+
+
+    if (input.getJournal != null)
+      p.setJournal(journalToOAF(input.getJournal))
+    p.setTitle(List(OafUtils.createSP(input.getTitle, "main title", "dnet:dataCite_title")).asJava)
+    p.setDateofacceptance(OafUtils.asField(input.getDate))
+    val i = new Instance
+    i.setCollectedfrom(generatePubmedDLICollectedFrom())
+    i.setDateofacceptance(p.getDateofacceptance)
+    i.setUrl(List(s"https://pubmed.ncbi.nlm.nih.gov/${input.getPmid}").asJava)
+    i.setInstancetype(createQualifier("0001", "Article", "dnet:publication_resource", "dnet:publication_resource"))
+    p.setInstance(List(i).asJava)
+    p
+  }
+
+
  def ebiLinksToOaf(input:(String, String)):List[Oaf] = {
    val pmid :String = input._1
    val input_json :String = input._2
@ -116,8 +176,16 @@ case class EBILinks(relation:String, pubdate:String, tpid:String, tpidType:Strin

    val workingPath = parser.get("workingPath")
    implicit val oafEncoder: Encoder[Oaf] = Encoders.kryo(classOf[Oaf])
+    implicit val oafpubEncoder: Encoder[Publication] = Encoders.kryo[Publication]
    implicit val relEncoder: Encoder[DLIRelation] = Encoders.kryo(classOf[DLIRelation])
    implicit val datEncoder: Encoder[DLIDataset] = Encoders.kryo(classOf[DLIDataset])
+    implicit val pubEncoder: Encoder[DLIPublication] = Encoders.kryo(classOf[DLIPublication])
+    implicit val atEncoder: Encoder[Author] = Encoders.kryo(classOf[Author])
+    implicit  val strEncoder:Encoder[String] = Encoders.STRING
+    implicit  val PMEncoder: Encoder[PMArticle] = Encoders.kryo(classOf[PMArticle])
+    implicit  val PMJEncoder: Encoder[PMJournal] = Encoders.kryo(classOf[PMJournal])
+    implicit  val PMAEncoder: Encoder[PMAuthor] = Encoders.kryo(classOf[PMAuthor])
+

    val ds:Dataset[(String,String)] = spark.read.load(s"$workingPath/baseline_links_updates").as[(String,String)](Encoders.tuple(Encoders.STRING, Encoders.STRING))

@ -133,6 +201,46 @@ case class EBILinks(relation:String, pubdate:String, tpid:String, tpidType:Strin
    oDataset.filter(p =>p.isInstanceOf[DLIDataset]).map(p => p.asInstanceOf[DLIDataset]).write.mode(SaveMode.Overwrite).save(s"$workingPath/baseline_links_updates_dataset")


+    val idPublicationSolved:Dataset[String] = spark.read.load(s"$workingPath/baseline_links_updates").where(col("links").isNotNull).select("pmid").as[String]
+    val baseline:Dataset[(String, PMArticle)]= spark.read.load(s"$workingPath/baseline_dataset").as[PMArticle].map(p=> (p.getPmid, p))(Encoders.tuple(strEncoder,PMEncoder))
+    idPublicationSolved.joinWith(baseline, idPublicationSolved("pmid").equalTo(baseline("_1"))).map(k => pubmedTOPublication(k._2._2)).write.mode(SaveMode.Overwrite).save(s"$workingPath/baseline_links_updates_publication")
+
+
+    val pmaDatasets = spark.read.load("/user/sandro.labruzzo/scholix/EBI/ebi_garr/baseline_dataset").as[PMArticle]
+
+    pmaDatasets.map(p => pubmedTOPublication(p)).write.mode(SaveMode.Overwrite).save(s"$workingPath/baseline_publication_all")
+
+    val pubs: Dataset[(String,Publication)] = spark.read.load("/user/sandro.labruzzo/scholix/EBI/publication").as[Publication].map(p => (p.getId, p))(Encoders.tuple(Encoders.STRING,oafpubEncoder))
+    val pubdate:Dataset[(String,DLIPublication)] = spark.read.load(s"$workingPath/baseline_publication_all").as[DLIPublication].map(p => (p.getId, p))(Encoders.tuple(Encoders.STRING,pubEncoder))
+
+
+
+    pubs.joinWith(pubdate, pubs("_1").equalTo(pubdate("_1"))).map(k => k._2._2).write.mode(SaveMode.Overwrite).save(s"$workingPath/baseline_publication_ebi")
+
+
+
+    val dt : Dataset[DLIDataset] = spark.read.load(s"$workingPath/dataset").as[DLIDataset]
+    val update : Dataset[DLIDataset] = spark.read.load(s"$workingPath/ebi_garr/baseline_links_updates_dataset").as[DLIDataset]
+
+
+    dt.union(update).map(d => (d.getId,d))(Encoders.tuple(Encoders.STRING, datEncoder))
+      .groupByKey(_._1)(Encoders.STRING)
+      .agg(EBIAggregator.getDLIDatasetAggregator().toColumn)
+      .map(p => p._2)
+      .write.mode(SaveMode.Overwrite).save(s"$workingPath/baseline_dataset_ebi")
+
+
+    val rel: Dataset[DLIRelation] = spark.read.load(s"$workingPath/relation").as[DLIRelation]
+    val relupdate : Dataset[DLIRelation] = spark.read.load(s"$workingPath/ebi_garr/baseline_links_updates_relation").as[DLIRelation]
+
+
+    rel.union(relupdate)
+      .map(d => (s"${d.getSource}::${d.getRelType}::${d.getTarget}", d))(Encoders.tuple(Encoders.STRING, relEncoder))
+      .groupByKey(_._1)(Encoders.STRING)
+      .agg(EBIAggregator.getDLIRelationAggregator().toColumn)
+      .map(p => p._2)
+      .write.mode(SaveMode.Overwrite)
+      .save(s"$workingPath/baseline_relation_ebi")

  }
 }
--- a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/sx/ebi/SparkCreateEBIDataFrame.scala
+++ b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/sx/ebi/SparkCreateEBIDataFrame.scala
@ -2,6 +2,7 @@ package eu.dnetlib.dhp.sx.ebi

 import eu.dnetlib.dhp.application.ArgumentApplicationParser
 import eu.dnetlib.dhp.schema.oaf.{Oaf, Publication, Relation, Dataset => OafDataset}
+import eu.dnetlib.dhp.schema.scholexplorer.{DLIDataset, DLIPublication, DLIRelation}
 import eu.dnetlib.dhp.sx.graph.parser.{DatasetScholexplorerParser, PublicationScholexplorerParser}
 import eu.dnetlib.scholexplorer.relation.RelationMapper
 import org.apache.commons.io.IOUtils
@ -10,6 +11,7 @@ import org.apache.spark.rdd.RDD
 import org.apache.spark.sql.{Dataset, Encoder, Encoders, SaveMode, SparkSession}
 import org.codehaus.jackson.map.{ObjectMapper, SerializationConfig}
 import org.slf4j.{Logger, LoggerFactory}
+
 import scala.collection.JavaConverters._

 object SparkCreateEBIDataFrame {
@ -34,54 +36,51 @@ object SparkCreateEBIDataFrame {
    val relationMapper = RelationMapper.load

    implicit val oafEncoder: Encoder[Oaf] = Encoders.kryo(classOf[Oaf])
-    implicit val datasetEncoder: Encoder[OafDataset] = Encoders.kryo(classOf[OafDataset])
-    implicit val pubEncoder: Encoder[Publication] = Encoders.kryo(classOf[Publication])
-    implicit val relEncoder: Encoder[Relation] = Encoders.kryo(classOf[Relation])
+    implicit val datasetEncoder: Encoder[DLIDataset] = Encoders.kryo(classOf[DLIDataset])
+    implicit val pubEncoder: Encoder[DLIPublication] = Encoders.kryo(classOf[DLIPublication])
+    implicit val relEncoder: Encoder[DLIRelation] = Encoders.kryo(classOf[DLIRelation])

-    logger.info("Extract Publication and relation from publication_xml")
-    val oafPubsRDD:RDD[Oaf] = sc.textFile(s"$workingPath/publication_xml").map(s =>
-    {
-      new ObjectMapper().readValue(s, classOf[String])
-    }).flatMap(s => {
-      val d = new PublicationScholexplorerParser
-      d.parseObject(s, relationMapper).asScala.iterator})
+//    logger.info("Extract Publication and relation from publication_xml")
+//    val oafPubsRDD:RDD[Oaf] = sc.textFile(s"$workingPath/publication_xml").map(s =>
+//    {
+//      new ObjectMapper().readValue(s, classOf[String])
+//    }).flatMap(s => {
+//      val d = new PublicationScholexplorerParser
+//      d.parseObject(s, relationMapper).asScala.iterator})
+//
+//    val mapper = new ObjectMapper()
+//    mapper.getSerializationConfig.enable(SerializationConfig.Feature.INDENT_OUTPUT)
+//    spark.createDataset(oafPubsRDD).write.mode(SaveMode.Overwrite).save(s"$workingPath/oaf")
+//
+//    logger.info("Extract Publication and relation from dataset_xml")
+//    val oafDatsRDD:RDD[Oaf] = sc.textFile(s"$workingPath/dataset_xml").map(s =>
+//    {
+//      new ObjectMapper().readValue(s, classOf[String])
+//    }).flatMap(s => {
+//      val d = new DatasetScholexplorerParser
+//      d.parseObject(s, relationMapper).asScala.iterator})

-    val mapper = new ObjectMapper()
-    mapper.getSerializationConfig.enable(SerializationConfig.Feature.INDENT_OUTPUT)
-    spark.createDataset(oafPubsRDD).write.mode(SaveMode.Overwrite).save(s"$workingPath/oaf")
-
-    logger.info("Extract Publication and relation from dataset_xml")
-    val oafDatsRDD:RDD[Oaf] = sc.textFile(s"$workingPath/dataset_xml").map(s =>
-    {
-      new ObjectMapper().readValue(s, classOf[String])
-    }).flatMap(s => {
-      val d = new DatasetScholexplorerParser
-      d.parseObject(s, relationMapper).asScala.iterator})
-
-    spark.createDataset(oafDatsRDD).write.mode(SaveMode.Append).save(s"$workingPath/oaf")
-    val dataset: Dataset[OafDataset] = spark.read.load(s"$workingPath/oaf").as[Oaf].filter(o => o.isInstanceOf[OafDataset]).map(d => d.asInstanceOf[OafDataset])
-    val publication: Dataset[Publication] = spark.read.load(s"$workingPath/oaf").as[Oaf].filter(o => o.isInstanceOf[Publication]).map(d => d.asInstanceOf[Publication])
-    val relations: Dataset[Relation] = spark.read.load(s"$workingPath/oaf").as[Oaf].filter(o => o.isInstanceOf[Relation]).map(d => d.asInstanceOf[Relation])
+//    spark.createDataset(oafDatsRDD).write.mode(SaveMode.Append).save(s"$workingPath/oaf")
+    val dataset: Dataset[DLIDataset] = spark.read.load(s"$workingPath/oaf").as[Oaf].filter(o => o.isInstanceOf[DLIDataset]).map(d => d.asInstanceOf[DLIDataset])
+    val publication: Dataset[DLIPublication] = spark.read.load(s"$workingPath/oaf").as[Oaf].filter(o => o.isInstanceOf[DLIPublication]).map(d => d.asInstanceOf[DLIPublication])
+    val relations: Dataset[DLIRelation] = spark.read.load(s"$workingPath/oaf").as[Oaf].filter(o => o.isInstanceOf[DLIRelation]).map(d => d.asInstanceOf[DLIRelation])
    publication.map(d => (d.getId, d))(Encoders.tuple(Encoders.STRING, pubEncoder))
      .groupByKey(_._1)(Encoders.STRING)
-      .agg(EBIAggregator.getPublicationAggregator().toColumn)
+      .agg(EBIAggregator.getDLIPublicationAggregator().toColumn)
      .map(p => p._2)
      .write.mode(SaveMode.Overwrite).save(s"$workingPath/publication")

    dataset.map(d => (d.getId, d))(Encoders.tuple(Encoders.STRING, datasetEncoder))
      .groupByKey(_._1)(Encoders.STRING)
-      .agg(EBIAggregator.getDatasetAggregator().toColumn)
+      .agg(EBIAggregator.getDLIDatasetAggregator().toColumn)
      .map(p => p._2)
      .write.mode(SaveMode.Overwrite).save(s"$workingPath/dataset")

    relations.map(d => (s"${d.getSource}::${d.getRelType}::${d.getTarget}", d))(Encoders.tuple(Encoders.STRING, relEncoder))
      .groupByKey(_._1)(Encoders.STRING)
-      .agg(EBIAggregator.getRelationAggregator().toColumn)
+      .agg(EBIAggregator.getDLIRelationAggregator().toColumn)
      .map(p => p._2)
      .write.mode(SaveMode.Overwrite).save(s"$workingPath/relation")

-
-
-    relations.map(r => (r.getSource, r.getTarget))(Encoders.tuple(Encoders.STRING,Encoders.STRING))
  }
 }
--- a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/sx/ebi/model/PMAuthor.java
+++ b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/sx/ebi/model/PMAuthor.java
@ -25,7 +25,8 @@ public class PMAuthor implements Serializable {
 	}

 	public String getFullName() {
-		return String.format("%s, %s", this.foreName, this.lastName);
+		return String
+			.format("%s, %s", this.foreName != null ? this.foreName : "", this.lastName != null ? this.lastName : "");
 	}

 }
--- a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/sx/graph/SparkSplitOafTODLIEntities.scala
+++ b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/sx/graph/SparkSplitOafTODLIEntities.scala
@ -0,0 +1,106 @@
+package eu.dnetlib.dhp.sx.graph
+
+import eu.dnetlib.dhp.application.ArgumentApplicationParser
+import eu.dnetlib.dhp.schema.oaf.Oaf
+import eu.dnetlib.dhp.schema.scholexplorer.{DLIDataset, DLIPublication, DLIRelation, DLIUnknown}
+import eu.dnetlib.dhp.sx.ebi.EBIAggregator
+import eu.dnetlib.dhp.sx.ebi.model.{PMArticle, PMAuthor, PMJournal}
+import org.apache.commons.io.IOUtils
+import org.apache.spark.sql.{Dataset, Encoder, Encoders, SaveMode, SparkSession}
+import org.slf4j.LoggerFactory
+
+object SparkSplitOafTODLIEntities {
+
+
+  def getKeyRelation(rel:DLIRelation):String = {
+    s"${rel.getSource}::${rel.getRelType}::${rel.getTarget}"
+
+
+  }
+
+  def main(args: Array[String]): Unit = {
+    val parser = new ArgumentApplicationParser(IOUtils.toString(SparkSplitOafTODLIEntities.getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/argumentparser/input_extract_entities_parameters.json")))
+    val logger = LoggerFactory.getLogger(SparkSplitOafTODLIEntities.getClass)
+    parser.parseArgument(args)
+
+    val workingPath: String = parser.get("workingPath")
+    logger.info(s"Working dir path = $workingPath")
+
+    implicit val oafEncoder: Encoder[Oaf] = Encoders.kryo[Oaf]
+    implicit val pubEncoder: Encoder[DLIPublication] = Encoders.kryo[DLIPublication]
+    implicit val datEncoder: Encoder[DLIDataset] = Encoders.kryo[DLIDataset]
+    implicit val unkEncoder: Encoder[DLIUnknown] = Encoders.kryo[DLIUnknown]
+    implicit val relEncoder: Encoder[DLIRelation] = Encoders.kryo[DLIRelation]
+
+
+
+    val spark:SparkSession  = SparkSession
+      .builder()
+      .appName(SparkSplitOafTODLIEntities.getClass.getSimpleName)
+      .master(parser.get("master"))
+      .getOrCreate()
+
+
+
+
+    val OAFDataset:Dataset[Oaf] = spark.read.load(s"$workingPath/input/OAFDataset").as[Oaf]
+
+    val ebi_dataset:Dataset[DLIDataset] = spark.read.load(s"$workingPath/ebi/baseline_dataset_ebi").as[DLIDataset]
+    val ebi_publication:Dataset[DLIPublication] = spark.read.load(s"$workingPath/ebi/baseline_publication_ebi").as[DLIPublication]
+    val ebi_relation:Dataset[DLIRelation] = spark.read.load(s"$workingPath/ebi/baseline_relation_ebi").as[DLIRelation]
+
+
+
+    OAFDataset
+      .filter(s => s != null && s.isInstanceOf[DLIPublication])
+      .map(s =>s.asInstanceOf[DLIPublication])
+      .union(ebi_publication)
+      .map(d => (d.getId, d))(Encoders.tuple(Encoders.STRING, pubEncoder))
+      .groupByKey(_._1)(Encoders.STRING)
+      .agg(EBIAggregator.getDLIPublicationAggregator().toColumn)
+      .map(p => p._2)
+      .repartition(1000)
+      .write.mode(SaveMode.Overwrite).save(s"$workingPath/graph/publication")
+
+    OAFDataset
+      .filter(s => s != null && s.isInstanceOf[DLIDataset])
+      .map(s =>s.asInstanceOf[DLIDataset])
+      .union(ebi_dataset)
+      .map(d => (d.getId, d))(Encoders.tuple(Encoders.STRING, datEncoder))
+      .groupByKey(_._1)(Encoders.STRING)
+      .agg(EBIAggregator.getDLIDatasetAggregator().toColumn)
+      .map(p => p._2)
+      .repartition(1000)
+      .write.mode(SaveMode.Overwrite).save(s"$workingPath/graph/dataset")
+
+
+    OAFDataset
+      .filter(s => s != null && s.isInstanceOf[DLIUnknown])
+      .map(s =>s.asInstanceOf[DLIUnknown])
+      .map(d => (d.getId, d))(Encoders.tuple(Encoders.STRING, unkEncoder))
+      .groupByKey(_._1)(Encoders.STRING)
+      .agg(EBIAggregator.getDLIUnknownAggregator().toColumn)
+      .map(p => p._2)
+      .repartition(1000)
+      .write.mode(SaveMode.Overwrite).save(s"$workingPath/graph/unknown")
+
+
+    OAFDataset
+      .filter(s => s != null && s.isInstanceOf[DLIRelation])
+      .map(s =>s.asInstanceOf[DLIRelation])
+      .union(ebi_relation)
+      .map(d => (getKeyRelation(d), d))(Encoders.tuple(Encoders.STRING, relEncoder))
+      .groupByKey(_._1)(Encoders.STRING)
+      .agg(EBIAggregator.getDLIRelationAggregator().toColumn)
+      .map(p => p._2)
+      .repartition(1000)
+      .write.mode(SaveMode.Overwrite).save(s"$workingPath/graph/relation")
+
+
+
+
+
+
+  }
+
+}
--- a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/sx/graph/SparkXMLToOAFDataset.scala
+++ b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/sx/graph/SparkXMLToOAFDataset.scala
@ -0,0 +1,73 @@
+package eu.dnetlib.dhp.sx.graph
+
+import eu.dnetlib.dhp.application.ArgumentApplicationParser
+import eu.dnetlib.dhp.schema.oaf.Oaf
+import eu.dnetlib.dhp.schema.scholexplorer.{DLIDataset, DLIPublication, DLIRelation}
+import eu.dnetlib.dhp.sx.graph.parser.{DatasetScholexplorerParser, PublicationScholexplorerParser}
+import eu.dnetlib.scholexplorer.relation.RelationMapper
+import org.apache.commons.io.IOUtils
+import org.apache.hadoop.io.{IntWritable, Text}
+import org.apache.spark.SparkConf
+import org.apache.spark.rdd.RDD
+import org.apache.spark.sql.{Encoder, Encoders, SaveMode, SparkSession}
+import org.slf4j.LoggerFactory
+
+import scala.collection.JavaConverters._
+
+
+/**
+ * This new version of the  Job read a sequential File containing XML stored in the aggregator and generates a Dataset OAF of heterogeneous
+ * entities like Dataset, Relation, Publication and Unknown
+ */
+
+object SparkXMLToOAFDataset {
+
+
+  def main(args: Array[String]): Unit = {
+    val logger = LoggerFactory.getLogger(SparkXMLToOAFDataset.getClass)
+    val conf = new SparkConf()
+    val parser = new ArgumentApplicationParser(IOUtils.toString(SparkXMLToOAFDataset.getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/graph/argumentparser/input_graph_scholix_parameters.json")))
+    parser.parseArgument(args)
+    val spark =
+      SparkSession
+        .builder()
+        .config(conf)
+        .appName(SparkXMLToOAFDataset.getClass.getSimpleName)
+        .master(parser.get("master")).getOrCreate()
+
+    val sc = spark.sparkContext
+
+    implicit  val oafEncoder:Encoder[Oaf] = Encoders.kryo[Oaf]
+    implicit  val datasetEncoder:Encoder[DLIDataset] = Encoders.kryo[DLIDataset]
+    implicit  val publicationEncoder:Encoder[DLIPublication] = Encoders.kryo[DLIPublication]
+    implicit  val relationEncoder:Encoder[DLIRelation] = Encoders.kryo[DLIRelation]
+
+    val relationMapper = RelationMapper.load
+
+    val inputPath: String = parser.get("sourcePath")
+    val entity: String = parser.get("entity")
+    val targetPath = parser.get("targetPath")
+
+    logger.info(s"Input path is $inputPath")
+    logger.info(s"Entity path is $entity")
+    logger.info(s"Target Path is $targetPath")
+
+    val scholixRdd:RDD[Oaf] = sc.sequenceFile(inputPath, classOf[IntWritable], classOf[Text])
+      .map(s => s._2.toString)
+      .flatMap(s => {
+        entity match {
+          case "publication" =>
+            val p = new PublicationScholexplorerParser
+            val l =p.parseObject(s, relationMapper)
+            if (l != null) l.asScala  else List()
+          case "dataset" =>
+            val d = new DatasetScholexplorerParser
+            val l =d.parseObject(s, relationMapper)
+            if (l != null) l.asScala  else List()
+        }
+    }).filter(s => s!= null)
+    spark.createDataset(scholixRdd).write.mode(SaveMode.Append).save(targetPath)
+
+  }
+
+}
--- a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/sx/graph/parser/DatasetScholexplorerParser.java
+++ b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/sx/graph/parser/DatasetScholexplorerParser.java
@ -317,6 +317,15 @@ public class DatasetScholexplorerParser extends AbstractScholexplorerParser {
 							.collect(Collectors.toList()));
 			}

+			// TERRIBLE HACK TO AVOID EMPTY COLLECTED FROM
+			if (parsedObject.getDlicollectedfrom() == null) {
+
+				final KeyValue cf = new KeyValue();
+				cf.setKey("dli_________::europe_pmc__");
+				cf.setValue("Europe PMC");
+				parsedObject.setCollectedfrom(Collections.singletonList(cf));
+			}
+
 			if (StringUtils.isNotBlank(resolvedURL)) {
 				Instance i = new Instance();
 				i.setCollectedfrom(parsedObject.getCollectedfrom().get(0));
--- a/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/migrate_db_entities_parameters.json
+++ b/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/migrate_db_entities_parameters.json
@ -40,5 +40,11 @@
 		"paramLongName": "dbschema",
 		"paramDescription": "the database schema according to the D-Net infrastructure (beta or production)",
 		"paramRequired": true
+	},
+	{
+		"paramName": "nsbl",
+		"paramLongName": "nsPrefixBlacklist",
+		"paramDescription": "a blacklist of nsprefixes (comma separeted)",
+		"paramRequired": false
 	}
 ]
--- a/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/raw_all/oozie_app/workflow.xml
+++ b/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/raw_all/oozie_app/workflow.xml
@ -43,7 +43,11 @@
            <name>isLookupUrl</name>
            <description>the address of the lookUp service</description>
        </property>
-
+        <property>
+            <name>nsPrefixBlacklist</name>
+            <value></value>
+            <description>a blacklist of nsprefixes (comma separeted)</description>
+        </property>
        <property>
            <name>sparkDriverMemory</name>
            <description>memory for driver process</description>
@ -131,6 +135,7 @@
            <arg>--isLookupUrl</arg><arg>${isLookupUrl}</arg>
            <arg>--action</arg><arg>claims</arg>
            <arg>--dbschema</arg><arg>${dbSchema}</arg>
+            <arg>--nsPrefixBlacklist</arg><arg>${nsPrefixBlacklist}</arg>
        </java>
        <ok to="ImportODF_claims"/>
        <error to="Kill"/>
@ -182,6 +187,7 @@
            <arg>--postgresPassword</arg><arg>${postgresPassword}</arg>
            <arg>--isLookupUrl</arg><arg>${isLookupUrl}</arg>
            <arg>--dbschema</arg><arg>${dbSchema}</arg>
+            <arg>--nsPrefixBlacklist</arg><arg>${nsPrefixBlacklist}</arg>
        </java>
        <ok to="ImportODF"/>
        <error to="Kill"/>
--- a/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/raw_claims/oozie_app/workflow.xml
+++ b/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/raw_claims/oozie_app/workflow.xml
@ -38,7 +38,11 @@
            <name>isLookupUrl</name>
            <description>the address of the lookUp service</description>
        </property>
-
+        <property>
+            <name>nsPrefixBlacklist</name>
+            <value></value>
+            <description>a blacklist of nsprefixes (comma separeted)</description>
+        </property>
        <property>
            <name>sparkDriverMemory</name>
            <description>memory for driver process</description>
@ -113,6 +117,7 @@
            <arg>--isLookupUrl</arg><arg>${isLookupUrl}</arg>
            <arg>--action</arg><arg>claims</arg>
            <arg>--dbschema</arg><arg>${dbSchema}</arg>
+            <arg>--nsPrefixBlacklist</arg><arg>${nsPrefixBlacklist}</arg>
        </java>
        <ok to="ImportODF_claims"/>
        <error to="Kill"/>
--- a/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/raw_db/oozie_app/workflow.xml
+++ b/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/raw_db/oozie_app/workflow.xml
@ -25,7 +25,11 @@
            <name>isLookupUrl</name>
            <description>the address of the lookUp service</description>
        </property>
-
+        <property>
+            <name>nsPrefixBlacklist</name>
+            <value></value>
+            <description>a blacklist of nsprefixes (comma separeted)</description>
+        </property>
        <property>
            <name>sparkDriverMemory</name>
            <description>memory for driver process</description>
@ -99,6 +103,7 @@
            <arg>--postgresPassword</arg><arg>${postgresPassword}</arg>
            <arg>--isLookupUrl</arg><arg>${isLookupUrl}</arg>
            <arg>--dbschema</arg><arg>${dbSchema}</arg>
+            <arg>--nsPrefixBlacklist</arg><arg>${nsPrefixBlacklist}</arg>
        </java>
        <ok to="ImportDB_claims"/>
        <error to="Kill"/>
@ -117,6 +122,7 @@
            <arg>--isLookupUrl</arg><arg>${isLookupUrl}</arg>
            <arg>--dbschema</arg><arg>${dbSchema}</arg>
            <arg>--action</arg><arg>claims</arg>
+            <arg>--nsPrefixBlacklist</arg><arg>${nsPrefixBlacklist}</arg>
        </java>
        <ok to="End"/>
        <error to="Kill"/>
--- a/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/raw_step1/oozie_app/workflow.xml
+++ b/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/oa/graph/raw_step1/oozie_app/workflow.xml
@ -28,6 +28,11 @@
            <name>isLookupUrl</name>
            <description>the address of the lookUp service</description>
        </property>
+        <property>
+            <name>nsPrefixBlacklist</name>
+            <value></value>
+            <description>a blacklist of nsprefixes (comma separeted)</description>
+        </property>
        <property>
            <name>sparkDriverMemory</name>
            <description>memory for driver process</description>
@ -67,6 +72,7 @@
            <arg>-pguser</arg><arg>${postgresUser}</arg>
            <arg>-pgpasswd</arg><arg>${postgresPassword}</arg>
            <arg>-islookup</arg><arg>${isLookupUrl}</arg>
+            <arg>--nsPrefixBlacklist</arg><arg>${nsPrefixBlacklist}</arg>
        </java>
        <ok to="ImportODF"/>
        <error to="Kill"/>
--- a/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/sx/ebi/oozie_app/config-default.xml
+++ b/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/sx/ebi/oozie_app/config-default.xml
@ -1,7 +1,7 @@
 <configuration>

    <!-- OCEAN  -->
-    <!--
+
    <property>
        <name>jobTracker</name>
        <value>yarnRM</value>
@ -18,26 +18,26 @@
        <name>spark2YarnHistoryServerAddress</name>
        <value>http://iis-cdh5-test-gw.ocean.icm.edu.pl:18089</value>
    </property>
-    -->
+

    <!-- GARR  -->

-    <property>
-        <name>jobTracker</name>
-        <value>yarn</value>
-    </property>
-    <property>
-        <name>nameNode</name>
-        <value>hdfs://hadoop-rm1.garr-pa1.d4science.org:8020</value>
-    </property>
-    <property>
-        <name>hive_metastore_uris</name>
-        <value>thrift://hadoop-edge3.garr-pa1.d4science.org:9083</value>
-    </property>
-    <property>
-        <name>spark2YarnHistoryServerAddress</name>
-        <value>http://hadoop-rm2.garr-pa1.d4science.org:19888</value>
-    </property>
+<!--    <property>-->
+<!--        <name>jobTracker</name>-->
+<!--        <value>yarn</value>-->
+<!--    </property>-->
+<!--    <property>-->
+<!--        <name>nameNode</name>-->
+<!--        <value>hdfs://hadoop-rm1.garr-pa1.d4science.org:8020</value>-->
+<!--    </property>-->
+<!--    <property>-->
+<!--        <name>hive_metastore_uris</name>-->
+<!--        <value>thrift://hadoop-edge3.garr-pa1.d4science.org:9083</value>-->
+<!--    </property>-->
+<!--    <property>-->
+<!--        <name>spark2YarnHistoryServerAddress</name>-->
+<!--        <value>http://hadoop-rm2.garr-pa1.d4science.org:19888</value>-->
+<!--    </property>-->


    <property>
--- a/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/sx/ebi/oozie_app/workflow.xml
+++ b/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/sx/ebi/oozie_app/workflow.xml
@ -18,7 +18,7 @@
        </property>
    </parameters>

-    <start to="GenerateUpdates"/>
+    <start to="CreateEBIDataSet"/>


    <kill name="Kill">
@ -48,6 +48,28 @@
        <error to="Kill"/>
    </action>

+    <action name="CreateEBIDataSet">
+        <spark xmlns="uri:oozie:spark-action:0.2">
+            <master>yarn-cluster</master>
+            <mode>cluster</mode>
+            <name>Create EBI DataSet</name>
+
+            <class>eu.dnetlib.dhp.sx.ebi.SparkCreateEBIDataFrame</class>
+            <jar>dhp-graph-mapper-${projectVersion}.jar</jar>
+            <spark-opts>
+                --executor-memory=${sparkExecutorMemory}
+                --executor-cores=${sparkExecutorCores}
+                --driver-memory=${sparkDriverMemory}
+                --conf spark.sql.shuffle.partitions=1000
+                ${sparkExtraOPT}
+            </spark-opts>
+            <arg>--workingPath</arg><arg>${workingPath}</arg>
+            <arg>--master</arg><arg>yarn</arg>
+        </spark>
+        <ok to="GenerateUpdates"/>
+        <error to="Kill"/>
+    </action>
+
    <action name="GenerateUpdates">
        <spark xmlns="uri:oozie:spark-action:0.2">
            <master>yarn-cluster</master>
@ -71,27 +93,7 @@
    </action>


-    <action name="CreateEBIDataSet">
-        <spark xmlns="uri:oozie:spark-action:0.2">
-            <master>yarn-cluster</master>
-            <mode>cluster</mode>
-            <name>Create EBI DataSet</name>

-            <class>eu.dnetlib.dhp.sx.ebi.SparkCreateEBIDataFrame</class>
-            <jar>dhp-graph-mapper-${projectVersion}.jar</jar>
-            <spark-opts>
-                --executor-memory=${sparkExecutorMemory}
-                --executor-cores=${sparkExecutorCores}
-                --driver-memory=${sparkDriverMemory}
-                --conf spark.sql.shuffle.partitions=1000
-                ${sparkExtraOPT}
-            </spark-opts>
-            <arg>--workingPath</arg><arg>${workingPath}</arg>
-            <arg>--master</arg><arg>yarn</arg>
-        </spark>
-        <ok to="End"/>
-        <error to="Kill"/>
-    </action>

    <end name="End"/>
 </workflow-app>
--- a/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/sx/graph/argumentparser/input_extract_entities_parameters.json
+++ b/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/sx/graph/argumentparser/input_extract_entities_parameters.json
@ -1,7 +1,4 @@
 [
  {"paramName":"mt",  "paramLongName":"master",       "paramDescription": "should be local or yarn",  "paramRequired": true},
-  {"paramName":"s",   "paramLongName":"sourcePath",           "paramDescription": "the path of the sequencial file to read",                  "paramRequired": true},
-  {"paramName":"t",   "paramLongName":"targetPath",           "paramDescription": "the path of the result data",                              "paramRequired": true},
-  {"paramName":"td",   "paramLongName":"targetDir",         "paramDescription": "the name of the result data",                              "paramRequired": true},
-  {"paramName":"e",   "paramLongName":"entities",             "paramDescription": "the entity type to be filtered",                           "paramRequired": true}
+  {"paramName":"w",   "paramLongName":"workingPath",  "paramDescription": "the work dir path",        "paramRequired": true}
 ]
--- a/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/sx/graph/step1/oozie_app/workflow.xml
+++ b/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/sx/graph/step1/oozie_app/workflow.xml
@ -101,12 +101,17 @@
            <master>yarn-cluster</master>
            <mode>cluster</mode>
            <name>Import ${entity} and related entities</name>
-            <class>eu.dnetlib.dhp.sx.graph.SparkScholexplorerGraphImporter</class>
+            <class>eu.dnetlib.dhp.sx.graph.SparkXMLToOAFDataset</class>
            <jar>dhp-graph-mapper-${projectVersion}.jar</jar>
-            <spark-opts>--executor-memory ${sparkExecutorMemory} --driver-memory=${sparkDriverMemory} ${sparkExtraOPT}</spark-opts>
-            <arg>-mt</arg> <arg>yarn-cluster</arg>
+            <spark-opts>
+                --executor-memory ${sparkExecutorMemory}
+                --executor-cores=${sparkExecutorCores}
+                --driver-memory=${sparkDriverMemory}
+                ${sparkExtraOPT}
+            </spark-opts>
+            <arg>-mt</arg> <arg>yarn</arg>
            <arg>--sourcePath</arg><arg>${targetXMLPath}</arg>
-            <arg>--targetPath</arg><arg>${targetEntityPath}</arg>
+            <arg>--targetPath</arg><arg>${workingPath}/input/OAFDataset</arg>
            <arg>--entity</arg><arg>${entity}</arg>
        </spark>
        <ok to="End"/>
--- a/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/sx/graph/step2/oozie_app/workflow.xml
+++ b/dhp-workflows/dhp-graph-mapper/src/main/resources/eu/dnetlib/dhp/sx/graph/step2/oozie_app/workflow.xml
@ -1,16 +1,8 @@
 <workflow-app name="Create Raw Graph Step 2: Map XML to OAF Entities" xmlns="uri:oozie:workflow:0.5">
    <parameters>
        <property>
-            <name>sourcePath</name>
-            <description>the source path</description>
-        </property>
-        <property>
-            <name>targetPath</name>
-            <description>the source path</description>
-        </property>
-        <property>
-            <name>targetDir</name>
-            <description>the name of the  path</description>
+            <name>workingPath</name>
+            <description>the working path</description>
        </property>
        <property>
            <name>sparkDriverMemory</name>
@ -20,32 +12,13 @@
            <name>sparkExecutorMemory</name>
            <description>memory for individual executor</description>
        </property>
-        <property>
-            <name>entities</name>
-            <description>the entities to be extracted</description>
-        </property>
    </parameters>

-    <start to="DeleteTargetPath"/>
+    <start to="ExtractDLIEntities"/>

    <kill name="Kill">
        <message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
    </kill>
-    <action name="DeleteTargetPath">
-        <fs>
-            <mkdir path="${targetPath}"/>  
-            <mkdir path="${targetPath}/dataset"/>
-            <mkdir path="${targetPath}/publication"/>
-            <mkdir path="${targetPath}/unknown"/>
-            <mkdir path="${targetPath}/relation"/>            
-            <delete path='${targetPath}/dataset/${targetDir}'/>
-            <delete path='${targetPath}/publication/${targetDir}'/>
-            <delete path='${targetPath}/unknown/${targetDir}'/>
-            <delete path='${targetPath}/relation/${targetDir}'/>
-        </fs>
-        <ok to="ExtractDLIEntities"/>
-        <error to="Kill"/>
-    </action>

    <action name="ExtractDLIEntities">
        <spark xmlns="uri:oozie:spark-action:0.2">
@ -53,19 +26,18 @@
            <name-node>${nameNode}</name-node>
            <master>yarn-cluster</master>
            <mode>cluster</mode>
-            <name>Extract ${entities}</name>
-            <class>eu.dnetlib.dhp.sx.graph.SparkExtractEntitiesJob</class>
+            <name>Extract DLI Entities</name>
+            <class>eu.dnetlib.dhp.sx.graph.SparkSplitOafTODLIEntities</class>
            <jar>dhp-graph-mapper-${projectVersion}.jar</jar>
            <spark-opts>
                --executor-memory ${sparkExecutorMemory}
+                --executor-cores=${sparkExecutorCores}
                --driver-memory=${sparkDriverMemory}
+                --conf spark.sql.shuffle.partitions=3840
                ${sparkExtraOPT}
            </spark-opts>
            <arg>-mt</arg> <arg>yarn-cluster</arg>
-            <arg>--sourcePath</arg><arg>${sourcePath}</arg>
-            <arg>--targetPath</arg><arg>${targetPath}</arg>
-            <arg>--targetDir</arg><arg>${targetDir}</arg>
-            <arg>--entities</arg><arg>${entities}</arg>
+            <arg>--workingPath</arg><arg>${workingPath}</arg>
        </spark>
        <ok to="End"/>
        <error to="Kill"/>
--- a/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/clean/CleaningFunctionTest.java
+++ b/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/clean/CleaningFunctionTest.java
@ -7,6 +7,8 @@ import static org.mockito.Mockito.lenient;
 import java.io.IOException;
 import java.util.List;
 import java.util.Set;
+import java.util.function.Predicate;
+import java.util.stream.Collectors;
 import java.util.stream.Stream;

 import org.apache.commons.io.IOUtils;
@ -19,9 +21,7 @@ import org.mockito.junit.jupiter.MockitoExtension;
 import com.fasterxml.jackson.databind.ObjectMapper;

 import eu.dnetlib.dhp.oa.graph.raw.common.VocabularyGroup;
-import eu.dnetlib.dhp.schema.oaf.Publication;
-import eu.dnetlib.dhp.schema.oaf.Qualifier;
-import eu.dnetlib.dhp.schema.oaf.Result;
+import eu.dnetlib.dhp.schema.oaf.*;
 import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpException;
 import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService;

@ -62,10 +62,12 @@ public class CleaningFunctionTest {
 		assertTrue(p_in instanceof Result);
 		assertTrue(p_in instanceof Publication);

-		Publication p_out = OafCleaner.apply(p_in, mapping);
+		Publication p_out = OafCleaner.apply(CleanGraphSparkJob.fixVocabularyNames(p_in), mapping);

 		assertNotNull(p_out);

+		assertNotNull(p_out.getPublisher());
+		assertNull(p_out.getPublisher().getValue());
 		assertEquals("und", p_out.getLanguage().getClassid());
 		assertEquals("Undetermined", p_out.getLanguage().getClassname());

@ -88,6 +90,16 @@ public class CleaningFunctionTest {

 		Publication p_defaults = CleanGraphSparkJob.fixDefaults(p_out);
 		assertEquals("CLOSED", p_defaults.getBestaccessright().getClassid());
+		assertNull(p_out.getPublisher());
+
+		getAuthorPids(p_defaults).forEach(pid -> {
+			System.out
+				.println(
+					String
+						.format(
+							"%s [%s - %s]", pid.getValue(), pid.getQualifier().getClassid(),
+							pid.getQualifier().getClassname()));
+		});

 		// TODO add more assertions to verity the cleaned values
 		System.out.println(MAPPER.writeValueAsString(p_out));
@ -97,7 +109,7 @@ public class CleaningFunctionTest {
 		 */
 	}

-	private Stream<Qualifier> getAuthorPidTypes(Publication pub) {
+	private Stream<Qualifier> getAuthorPidTypes(Result pub) {
 		return pub
 			.getAuthor()
 			.stream()
@ -106,6 +118,14 @@ public class CleaningFunctionTest {
 			.map(s -> s.getQualifier());
 	}

+	private Stream<StructuredProperty> getAuthorPids(Result pub) {
+		return pub
+			.getAuthor()
+			.stream()
+			.map(a -> a.getPid())
+			.flatMap(p -> p.stream());
+	}
+
 	private List<String> vocs() throws IOException {
 		return IOUtils
 			.readLines(CleaningFunctionTest.class.getResourceAsStream("/eu/dnetlib/dhp/oa/graph/clean/terms.txt"));
--- a/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/raw/MappersTest.java
+++ b/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/raw/MappersTest.java
@ -276,6 +276,17 @@ public class MappersTest {
 		System.out.println("***************");
 	}

+
+	@Test
+	void testClaimDedup() throws IOException {
+		final String xml = IOUtils.toString(getClass().getResourceAsStream("oaf_claim_dedup.xml"));
+		final List<Oaf> list = new OafToOafMapper(vocs, false).processMdRecord(xml);
+
+		System.out.println("***************");
+		System.out.println(new ObjectMapper().writeValueAsString(list));
+		System.out.println("***************");
+	}
+
 	private void assertValidId(final String id) {
 		assertEquals(49, id.length());
 		assertEquals('|', id.charAt(2));
--- a/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/raw/common/VerifyNsPrefixPredicateTest.java
+++ b/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/raw/common/VerifyNsPrefixPredicateTest.java
@ -0,0 +1,92 @@
+
+package eu.dnetlib.dhp.oa.graph.raw.common;
+
+import static org.junit.jupiter.api.Assertions.assertFalse;
+import static org.junit.jupiter.api.Assertions.assertTrue;
+
+import org.junit.jupiter.api.BeforeEach;
+import org.junit.jupiter.api.Test;
+
+import eu.dnetlib.dhp.schema.oaf.Datasource;
+import eu.dnetlib.dhp.schema.oaf.Field;
+import eu.dnetlib.dhp.schema.oaf.Project;
+import eu.dnetlib.dhp.schema.oaf.Relation;
+
+class VerifyNsPrefixPredicateTest {
+
+	private VerifyNsPrefixPredicate predicate;
+
+	@BeforeEach
+	void setUp() throws Exception {
+		predicate = new VerifyNsPrefixPredicate("corda,nsf,wt");
+	}
+
+	@Test
+	void testTestValue() {
+		assertFalse(predicate.testValue("corda__2020"));
+		assertFalse(predicate.testValue("nsf________"));
+		assertFalse(predicate.testValue("nsf"));
+		assertFalse(predicate.testValue("corda"));
+		assertFalse(predicate.testValue("10|corda_______::fjkdsfjksdhfksj"));
+		assertFalse(predicate.testValue("20|corda_______::fjkdsfjksdhfksj"));
+
+		assertTrue(predicate.testValue("xxxxxx_____"));
+		assertTrue(predicate.testValue("10|xxxxxx_____::sdasdasaddasad"));
+
+		assertTrue(predicate.testValue(null));
+		assertTrue(predicate.testValue(""));
+	}
+
+	@Test
+	void testTest_ds_true() {
+		final Field<String> prefix = new Field<>();
+		prefix.setValue("xxxxxx______");
+
+		final Datasource ds = new Datasource();
+		ds.setNamespaceprefix(prefix);
+
+		assertTrue(predicate.test(ds));
+	}
+
+	@Test
+	void testTest_ds_false() {
+		final Field<String> prefix = new Field<>();
+		prefix.setValue("corda__2020");
+
+		final Datasource ds = new Datasource();
+		ds.setNamespaceprefix(prefix);
+
+		assertFalse(predicate.test(ds));
+	}
+
+	@Test
+	void testTest_rel_true() {
+		final Relation rel = new Relation();
+		rel.setSource("10|yyyyyy______:sdfsfsffsdfs");
+		rel.setTarget("10|xxxxxx______:sdfsfsffsdfs");
+		assertTrue(predicate.test(rel));
+	}
+
+	@Test
+	void testTest_rel_false() {
+		final Relation rel = new Relation();
+		rel.setSource("10|corda_______:sdfsfsffsdfs");
+		rel.setTarget("10|xxxxxx______:sdfsfsffsdfs");
+		assertFalse(predicate.test(rel));
+	}
+
+	@Test
+	void testTest_proj_true() {
+		final Project p = new Project();
+		p.setId("10|xxxxxx______:sdfsfsffsdfs");
+		assertTrue(predicate.test(p));
+	}
+
+	@Test
+	void testTest_proj_false() {
+		final Project p = new Project();
+		p.setId("10|corda_____:sdfsfsffsdfs");
+		assertFalse(predicate.test(p));
+	}
+
+}
--- a/dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/clean/result.json
+++ b/dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/clean/result.json
@ -59,6 +59,28 @@
            "schemename": "dnet:pid_types"
          },
          "value": "qwerty"
+        },
+        {
+          "dataInfo": {
+            "deletedbyinference": false,
+            "inferenceprovenance": "",
+            "inferred": false,
+            "invisible": false,
+            "provenanceaction": {
+              "classid": "sysimport:crosswalk:datasetarchive",
+              "classname": "sysimport:crosswalk:datasetarchive",
+              "schemeid": "dnet:provenanceActions",
+              "schemename": "dnet:provenanceActions"
+            },
+            "trust": "0.9"
+          },
+          "qualifier": {
+            "classid": "ORCID",
+            "classname": "ORCID",
+            "schemeid": "",
+            "schemename": ""
+          },
+          "value": "asdasd"
        }
      ],
      "rank": 2,
@ -186,6 +208,9 @@
    }
  ],
  "bestaccessright": null,
+  "publisher": {
+    "value": null
+  },
  "collectedfrom": [
    {
      "key": "10|CSC_________::a2b9ce8435390bcbfc05f3cae3948747",
--- a/dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/raw/oaf_claim_dedup.xml
+++ b/dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/raw/oaf_claim_dedup.xml
@ -0,0 +1,182 @@
+<oai:record xmlns:oaf="http://namespace.openaire.eu/oaf" xmlns:dc="http://purl.org/dc/elements/1.1/"
+            xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"
+            xmlns:oai="http://www.openarchives.org/OAI/2.0/"
+            xmlns:dri="http://www.driver-repository.eu/namespace/dri"
+            xmlns:dr="http://www.driver-repository.eu/namespace/dr">
+    <oai:header>
+        <dri:objIdentifier>dedup_wf_001::534276867e917fe9efe0cca10e363457</dri:objIdentifier>
+        <dri:dateOfCollection>2020-08-02T22:55:40.866Z</dri:dateOfCollection>
+        <oaf:datasourceprefix>openaire____</oaf:datasourceprefix>
+        <dr:dateOfTransformation>2020-08-02T23:53:04.582Z</dr:dateOfTransformation>
+    </oai:header>
+    <oai:metadata>
+        <dc:contributor>ATLAS (IHEF, IoP, FNWI)</dc:contributor>
+        <dc:contributor>Doğuş Üniversitesi, Fen Edebiyat Fakültesi, Fizik Bölümü</dc:contributor>
+        <dc:contributor>TR3959</dc:contributor>
+        <dc:contributor>Doğuş Üniversitesi, Fen Edebiyat Fakültesi, Fizik Bölümü</dc:contributor>
+        <dc:contributor>TR3959</dc:contributor>
+        <dc:source>urn:issn:1748-0221</dc:source>
+        <dc:source>VOLUME=7;ISSUE=1;ISSN=1748-0221;TITLE=Journal of Instrumentation</dc:source>
+        <dc:source>ATLAS Collaboration Mitsou, Vasiliki Fiorini, Luca Ros Martínez, Eduardo Castillo
+            Giménez, María Victoria Fuster Verdú, Juan A. García García, Carmen Cabrera Urbán,
+            Susana Martí García, Salvador Salt Cairols, José Lacasta Llácer, Carlos Valls Ferrer,
+            Juan Antonio Higón Rodríguez, Emilio Ferrer Soria, Antonio González de la Hoz, Santiago
+            Kaci, Mohammed Hernández Jiménez, Yesenia Villaplana Pérez, Miguel 2012 A study of the
+            material in the ATLAS inner detector using secondary hadronic interactions Journal Of
+            Instrumentation 7 P01013 1 41</dc:source>
+        <dc:source>Journal of Instrumentation, 7(1)</dc:source>
+        <dc:source>Aad, G; Abbott, B; Abdallah, J; Abdelalim, AA; Abdesselam, A; Abdinov, O;  et
+            al.(2012). A study of the material in the ATLAS inner detector using secondary hadronic
+            interactions. Journal of Instrumentation, 7(1). doi: 10.1088/1748-0221/7/01/P01013. UC
+            Santa Cruz: Retrieved from: http://www.escholarship.org/uc/item/05j2j2br</dc:source>
+        <dc:source>Journal of Instrumentation, 7</dc:source>
+        <dc:source>VOLUME=7;ISSN=1748-0221;TITLE=Journal of Instrumentation</dc:source>
+        <dc:source>1748-0221</dc:source>
+        <dc:source>Journal of Instrumentation 7, P01013 (2012).
+            doi:10.1088/1748-0221/7/01/P01013</dc:source>
+        <dc:title>A measurement of the material in the ATLAS inner detector using secondary hadronic
+            interactions</dc:title>
+        <dc:language>und</dc:language>
+        <dc:subject classid="keyword" classname="keyword">Detector modelling and simulations I
+            (interaction of radiation with matter, interaction of photons with matter, interaction
+            of hadrons with matter, etc); Particle tracking detectors (Solid-state detectors); Si
+            microstrip and pad detectors; Large detector systems for particle and astroparticle
+            physics</dc:subject>
+        <dc:subject classid="keyword" classname="keyword">of photons with matter, interaction of
+            hadrons with matter, etc)</dc:subject>
+        <dc:subject classid="keyword" classname="keyword">Particle Physics - Experiment</dc:subject>
+        <dc:subject classid="keyword" classname="keyword">Detector Modelling and
+            Simulations</dc:subject>
+        <dc:subject classid="keyword" classname="keyword">Detector modelling and simulations I
+            (interaction of radiation with matter, interaction of photons with matter, interaction
+            of hadrons with matter, etc)</dc:subject>
+        <dc:subject classid="keyword" classname="keyword">Large detector systems for particle and
+            astroparticle physics</dc:subject>
+        <dc:subject classid="keyword" classname="keyword">Detector modelling and simulations I
+            (interaction of radiation with matter, interaction</dc:subject>
+        <dc:subject classid="keyword" classname="keyword">Large Detector Systems</dc:subject>
+        <dc:subject classid="keyword" classname="keyword">530</dc:subject>
+        <dc:subject classid="keyword" classname="keyword">Science &amp; Technology</dc:subject>
+        <dc:subject classid="keyword" classname="keyword">:Ciências Físicas [Ciências
+            Naturais]</dc:subject>
+        <dc:subject classid="keyword" classname="keyword">High Energy Physics -
+            Experiment</dc:subject>
+        <dc:subject classid="keyword" classname="keyword">Detectors de radiació</dc:subject>
+        <dc:subject classid="keyword" classname="keyword">Física nuclear</dc:subject>
+        <dc:subject classid="ddc" classname="ddc">ddc:610</dc:subject>
+        <dc:subject classid="keyword" classname="keyword">Si microstrip and pad
+            detectors</dc:subject>
+        <dc:subject classid="keyword" classname="keyword">Particle tracking detectors (Solid-state
+            detectors)</dc:subject>
+        <dc:subject classid="keyword" classname="keyword">Col·lisions (Física nuclear)</dc:subject>
+        <dc:subject classid="keyword" classname="keyword">Particle Tracking Detectors</dc:subject>
+        <dc:publisher>IOP Publishing</dc:publisher>
+        <dc:format>application/pdf</dc:format>
+        <dc:format>application/pdf</dc:format>
+        <dc:format>application/pdf</dc:format>
+        <dc:format>application/pdf</dc:format>
+        <dc:format>application/pdf</dc:format>
+        <dc:format>application/pdf</dc:format>
+        <dc:date>2016-05-02</dc:date>
+        <dc:description>The ATLAS inner detector is used to reconstruct secondary vertices due to
+            hadronic interactions of primary collision products, so probing the location and amount
+            of material in the inner region of ATLAS. Data collected in 7 TeV pp collisions at the
+            LHC, with a minimum bias trigger, are used for comparisons with simulated events. The
+            reconstructed secondary vertices have spatial resolutions ranging from ~ 200μm to 1 mm.
+            The overall material description in the simulation is validated to within an
+            experimental uncertainty of about 7%. This will lead to a better understanding of the
+            reconstruction of various objects such as tracks, leptons, jets, and missing transverse
+            momentum. We acknowledge the support of ANPCyT, Argentina; YerPhI, Armenia; ARC,
+            Australia; BMWF, Austria; ANAS, Azerbaijan; SSTC, Belarus; CNPq and FAPESP, Brazil;
+            NSERC, NRC and CFI, Canada; CERN; CONICYT, Chile; CAS, MOST and NSFC, China;
+            COLCIENCIAS, Colombia; MSMT CR, MPO CR and VSC CR, Czech Republic; DNRF, DNSRC and
+            Lundbeck Foundation, Denmark; ARTEMIS, European Union; IN2P3-CNRS, CEA-DSM/IRFU, France;
+            GNAS, Georgia; BMBF, DFG, HGF, MPG and AvH Foundation, Germany; GSRT, Greece; ISF,
+            MINERVA, GIF, DIP and Benoziyo Center, Israel; INFN, Italy; MEXT and JSPS, Japan; CNRST,
+            Morocco; FOM and NWO, Netherlands; RCN, Norway; MNiSW, Poland; GRICES and FCT, Portugal;
+            MERYS (MECTS), Romania; MES of Russia and ROSATOM, Russian Federation; JINR; MSTD,
+            Serbia; MSSR, Slovakia; ARRS and MVZT, Slovenia; DST/NRF, South Africa; MICINN, Spain;
+            SRC and Wallenberg Foundation, Sweden; SER, SNSF and Cantons of Bern and Geneva,
+            Switzerland; NSC, Taiwan; TAEK, Turkey; STFC, the Royal Society and Leverhulme Trust,
+            United Kingdom; DOE and NSF, United States of America.
+            info:eu-repo/semantics/publishedVersion</dc:description>
+        <dc:source>NARCIS</dc:source>
+        <dc:source>DSpace@Dogus</dc:source>
+        <dc:source>Lancaster EPrints</dc:source>
+        <dc:source>CERN Document Server</dc:source>
+        <dc:source>DESY Publication Database</dc:source>
+        <dc:source>OpenAIRE</dc:source>
+        <dc:source>Publikationenserver der Georg-August-Universität Göttingen</dc:source>
+        <dc:source>arXiv.org e-Print Archive</dc:source>
+        <dc:source>CORE (RIOXX-UK Aggregator)</dc:source>
+        <dc:source>eScholarship - University of California</dc:source>
+        <dc:source>Universidade do Minho: RepositoriUM</dc:source>
+        <dc:source>Dokuz Eylul University Open Archive System</dc:source>
+        <dc:source>Repositori d'Objectes Digitals per a l'Ensenyament la Recerca i la
+            Cultura</dc:source>
+        <dc:relation>info:eu-repo/semantics/altIdentifier/doi/10.1088/1748-0221/7/01/P01013</dc:relation>
+        <dc:relation>info:eu-repo/semantics/altIdentifier/doi/10.1088/1748-0221/7/01/P01013.</dc:relation>
+        <dc:type>Article</dc:type>
+        <dc:identifier>http://hdl.handle.net/11376/1605</dc:identifier>
+        <dc:type>Article</dc:type>
+        <dc:identifier>http://www.escholarship.org/uc/item/05j2j2br</dc:identifier>
+        <dc:type>Unknown</dc:type>
+        <dc:identifier>http://cds.cern.ch/record/1394292</dc:identifier>
+        <dc:type>Article</dc:type>
+        <dc:identifier>http://eprints.lancs.ac.uk/68235/</dc:identifier>
+        <dc:type>Article</dc:type>
+        <dc:identifier>http://hdl.handle.net/10550/36188</dc:identifier>
+        <dc:type>Article</dc:type>
+        <dc:identifier>http://eprints.gla.ac.uk/65933/1/65933.pdf</dc:identifier>
+        <dc:type>Preprint</dc:type>
+        <dc:identifier>http://arxiv.org/abs/1110.6191</dc:identifier>
+        <dc:type>Article</dc:type>
+        <dc:identifier>http://dare.uva.nl/personal/pure/en/publications/a-study-of-the-material-in-the-atlas-inner-detector-using-secondary-hadronic-interactions(6b7667e2-04e2-4a66-92a8-ff4edbf61a17).html</dc:identifier>
+        <dc:type>Article</dc:type>
+        <dc:identifier>http://hdl.handle.net/1822/48768</dc:identifier>
+        <dc:type>Article</dc:type>
+        <dc:identifier>http://resolver.sub.uni-goettingen.de/purl?gs-1/12231</dc:identifier>
+        <dc:type>Article</dc:type>
+        <dc:identifier>http://bib-pubdb1.desy.de/search?p=id:%22PHPPUBDB-21212%22</dc:identifier>
+        <dc:identifier>http://bib-pubdb1.desy.de/record/96807/files/CERN-PH-EP-2011-147_1110.6191v2.pdf</dc:identifier>
+        <dc:identifier>http://bib-pubdb1.desy.de//record/96807/files/CERN-PH-EP-2011-147_1110.6191v2.pdf</dc:identifier>
+        <dc:identifier>http://bib-pubdb1.desy.de/record/96807</dc:identifier>
+        <dc:type>Article</dc:type>
+        <dc:identifier>http://arxiv.org/abs/1110.6191</dc:identifier>
+        <dc:type>Article</dc:type>
+        <dc:identifier>http://hdl.handle.net/11376/1605</dc:identifier>
+        <dc:identifier>http://dx.doi.org/10.1088/1748-0221/7/01/P01013</dc:identifier>
+        <dc:type>Article</dc:type>
+        <dc:identifier>http://hdl.handle.net/2066/93736</dc:identifier>
+        <dc:creator>ATLAS Collaboration</dc:creator>
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+        <oaf:dateAccepted>2016-05-02</oaf:dateAccepted>
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