Merge pull request 'Import affiliation relations from Crossref' (#320) from 8876 into beta
Reviewed-on: #320
This commit is contained in:
commit
18fbe52b20
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@ -11,6 +11,7 @@ import org.apache.spark.sql.SparkSession;
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import com.fasterxml.jackson.databind.ObjectMapper;
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import com.fasterxml.jackson.databind.ObjectMapper;
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import eu.dnetlib.dhp.application.ArgumentApplicationParser;
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import eu.dnetlib.dhp.application.ArgumentApplicationParser;
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import eu.dnetlib.dhp.common.HdfsSupport;
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import eu.dnetlib.dhp.schema.common.ModelConstants;
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import eu.dnetlib.dhp.schema.common.ModelConstants;
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import eu.dnetlib.dhp.schema.oaf.StructuredProperty;
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import eu.dnetlib.dhp.schema.oaf.StructuredProperty;
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import eu.dnetlib.dhp.schema.oaf.Subject;
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import eu.dnetlib.dhp.schema.oaf.Subject;
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@ -93,4 +94,9 @@ public class Constants {
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return s;
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return s;
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}
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}
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public static void removeOutputDir(SparkSession spark, String path) {
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HdfsSupport.remove(path, spark.sparkContext().hadoopConfiguration());
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}
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}
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}
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@ -0,0 +1,160 @@
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package eu.dnetlib.dhp.actionmanager.bipaffiliations;
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import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
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import java.io.Serializable;
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import java.util.Arrays;
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import java.util.List;
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import org.apache.commons.io.IOUtils;
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import org.apache.hadoop.io.Text;
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import org.apache.hadoop.io.compress.GzipCodec;
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import org.apache.hadoop.mapred.SequenceFileOutputFormat;
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import org.apache.spark.SparkConf;
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import org.apache.spark.api.java.function.FlatMapFunction;
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import org.apache.spark.sql.*;
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import org.apache.spark.sql.Dataset;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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import com.fasterxml.jackson.databind.ObjectMapper;
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import eu.dnetlib.dhp.actionmanager.Constants;
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import eu.dnetlib.dhp.actionmanager.ror.GenerateRorActionSetJob;
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import eu.dnetlib.dhp.application.ArgumentApplicationParser;
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import eu.dnetlib.dhp.schema.action.AtomicAction;
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import eu.dnetlib.dhp.schema.common.ModelConstants;
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import eu.dnetlib.dhp.schema.oaf.*;
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import eu.dnetlib.dhp.schema.oaf.utils.CleaningFunctions;
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import eu.dnetlib.dhp.schema.oaf.utils.IdentifierFactory;
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import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils;
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import scala.Tuple2;
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/**
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* Creates action sets for Crossref affiliation relations inferred by BIP!
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*/
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public class PrepareAffiliationRelations implements Serializable {
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private static final Logger log = LoggerFactory.getLogger(PrepareAffiliationRelations.class);
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private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
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private static final String ID_PREFIX = "50|doi_________::";
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public static final String BIP_AFFILIATIONS_CLASSID = "result:organization:bipinference";
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public static final String BIP_AFFILIATIONS_CLASSNAME = "Affiliation relation inferred by BIP!";
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public static final String BIP_INFERENCE_PROVENANCE = "bip:affiliation:crossref";
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public static <I extends Result> void main(String[] args) throws Exception {
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String jsonConfiguration = IOUtils
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.toString(
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PrepareAffiliationRelations.class
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.getResourceAsStream(
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"/eu/dnetlib/dhp/actionmanager/bipaffiliations/input_actionset_parameter.json"));
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final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
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parser.parseArgument(args);
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Boolean isSparkSessionManaged = Constants.isSparkSessionManaged(parser);
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log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
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final String inputPath = parser.get("inputPath");
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log.info("inputPath {}: ", inputPath);
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final String outputPath = parser.get("outputPath");
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log.info("outputPath {}: ", outputPath);
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SparkConf conf = new SparkConf();
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runWithSparkSession(
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conf,
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isSparkSessionManaged,
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spark -> {
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Constants.removeOutputDir(spark, outputPath);
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prepareAffiliationRelations(spark, inputPath, outputPath);
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});
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}
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private static <I extends Result> void prepareAffiliationRelations(SparkSession spark, String inputPath,
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String outputPath) {
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// load and parse affiliation relations from HDFS
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Dataset<Row> df = spark
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.read()
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.schema("`DOI` STRING, `Matchings` ARRAY<STRUCT<`RORid`:ARRAY<STRING>,`Confidence`:DOUBLE>>")
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.json(inputPath);
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// unroll nested arrays
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df = df
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.withColumn("matching", functions.explode(new Column("Matchings")))
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.withColumn("rorid", functions.explode(new Column("matching.RORid")))
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.select(
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new Column("DOI").as("doi"),
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new Column("rorid"),
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new Column("matching.Confidence").as("confidence"));
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// prepare action sets for affiliation relations
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df
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.toJavaRDD()
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.flatMap((FlatMapFunction<Row, Relation>) row -> {
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// DOI to OpenAIRE id
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final String paperId = ID_PREFIX
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+ IdentifierFactory.md5(CleaningFunctions.normalizePidValue("doi", row.getAs("doi")));
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// ROR id to OpenAIRE id
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final String affId = GenerateRorActionSetJob.calculateOpenaireId(row.getAs("rorid"));
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Qualifier qualifier = OafMapperUtils
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.qualifier(
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BIP_AFFILIATIONS_CLASSID,
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BIP_AFFILIATIONS_CLASSNAME,
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ModelConstants.DNET_PROVENANCE_ACTIONS,
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ModelConstants.DNET_PROVENANCE_ACTIONS);
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// format data info; setting `confidence` into relation's `trust`
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DataInfo dataInfo = OafMapperUtils
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.dataInfo(
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false,
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BIP_INFERENCE_PROVENANCE,
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true,
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false,
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qualifier,
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Double.toString(row.getAs("confidence")));
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// return bi-directional relations
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return getAffiliationRelationPair(paperId, affId, dataInfo).iterator();
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})
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.map(p -> new AtomicAction(Relation.class, p))
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.mapToPair(
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aa -> new Tuple2<>(new Text(aa.getClazz().getCanonicalName()),
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new Text(OBJECT_MAPPER.writeValueAsString(aa))))
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.saveAsHadoopFile(outputPath, Text.class, Text.class, SequenceFileOutputFormat.class, GzipCodec.class);
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}
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private static List<Relation> getAffiliationRelationPair(String paperId, String affId, DataInfo dataInfo) {
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return Arrays
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.asList(
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OafMapperUtils
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.getRelation(
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paperId,
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affId,
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ModelConstants.RESULT_ORGANIZATION,
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ModelConstants.AFFILIATION,
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ModelConstants.HAS_AUTHOR_INSTITUTION,
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null,
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dataInfo,
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null),
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OafMapperUtils
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.getRelation(
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affId,
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paperId,
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ModelConstants.RESULT_ORGANIZATION,
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ModelConstants.AFFILIATION,
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ModelConstants.IS_AUTHOR_INSTITUTION_OF,
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null,
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dataInfo,
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null));
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}
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}
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@ -168,7 +168,7 @@ public class GenerateRorActionSetJob {
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}
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}
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private static String calculateOpenaireId(final String rorId) {
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public static String calculateOpenaireId(final String rorId) {
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return String.format("20|%s::%s", Constants.ROR_NS_PREFIX, DHPUtils.md5(rorId));
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return String.format("20|%s::%s", Constants.ROR_NS_PREFIX, DHPUtils.md5(rorId));
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}
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}
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@ -0,0 +1,20 @@
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[
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{
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"paramName": "issm",
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"paramLongName": "isSparkSessionManaged",
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"paramDescription": "when true will stop SparkSession after job execution",
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"paramRequired": false
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},
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{
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"paramName": "ip",
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"paramLongName": "inputPath",
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"paramDescription": "the URL from where to get the programme file",
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"paramRequired": true
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},
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{
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"paramName": "o",
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"paramLongName": "outputPath",
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"paramDescription": "the path of the new ActionSet",
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"paramRequired": true
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}
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]
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@ -0,0 +1,35 @@
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# --- You can override the following properties (if needed) coming from your ~/.dhp/application.properties ---
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# dhp.hadoop.frontend.temp.dir=/home/ilias.kanellos
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# dhp.hadoop.frontend.user.name=ilias.kanellos
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# dhp.hadoop.frontend.host.name=iis-cdh5-test-gw.ocean.icm.edu.pl
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# dhp.hadoop.frontend.port.ssh=22
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# oozieServiceLoc=http://iis-cdh5-test-m3:11000/oozie
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# jobTracker=yarnRM
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# nameNode=hdfs://nameservice1
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# oozie.execution.log.file.location = target/extract-and-run-on-remote-host.log
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# maven.executable=mvn
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# Some memory and driver settings for more demanding tasks
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sparkDriverMemory=10G
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sparkExecutorMemory=10G
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sparkExecutorCores=4
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sparkShufflePartitions=7680
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# The above is given differently in an example I found online
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oozie.action.sharelib.for.spark=spark2
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oozieActionShareLibForSpark2=spark2
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spark2YarnHistoryServerAddress=http://iis-cdh5-test-gw.ocean.icm.edu.pl:18089
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spark2EventLogDir=/user/spark/spark2ApplicationHistory
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sparkSqlWarehouseDir=/user/hive/warehouse
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hiveMetastoreUris=thrift://iis-cdh5-test-m3.ocean.icm.edu.pl:9083
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# This MAY avoid the no library used error
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oozie.use.system.libpath=true
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# Some stuff copied from openaire's jobs
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spark2ExtraListeners=com.cloudera.spark.lineage.NavigatorAppListener
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spark2SqlQueryExecutionListeners=com.cloudera.spark.lineage.NavigatorQueryListener
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# The following is needed as a property of a workflow
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oozie.wf.application.path=${oozieTopWfApplicationPath}
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inputPath=/user/schatz/affiliations/data-v3.1.json
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outputPath=/tmp/crossref-affiliations-output-v3.1
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@ -0,0 +1,30 @@
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<configuration>
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<property>
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<name>jobTracker</name>
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<value>yarnRM</value>
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</property>
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<property>
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<name>nameNode</name>
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<value>hdfs://nameservice1</value>
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</property>
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<property>
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<name>oozie.use.system.libpath</name>
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<value>true</value>
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</property>
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<property>
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<name>hiveMetastoreUris</name>
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<value>thrift://iis-cdh5-test-m3.ocean.icm.edu.pl:9083</value>
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</property>
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<property>
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<name>hiveJdbcUrl</name>
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<value>jdbc:hive2://iis-cdh5-test-m3.ocean.icm.edu.pl:10000</value>
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</property>
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<property>
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<name>hiveDbName</name>
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<value>openaire</value>
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</property>
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<property>
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<name>oozie.launcher.mapreduce.user.classpath.first</name>
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<value>true</value>
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</property>
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</configuration>
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@ -0,0 +1,107 @@
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<workflow-app name="BipAffiliations" xmlns="uri:oozie:workflow:0.5">
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<parameters>
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<property>
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<name>inputPath</name>
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<description>the path where to find the inferred affiliation relations</description>
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</property>
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<property>
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<name>outputPath</name>
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<description>the path where to store the actionset</description>
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</property>
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|
<property>
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<name>sparkDriverMemory</name>
|
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<description>memory for driver process</description>
|
||||||
|
</property>
|
||||||
|
<property>
|
||||||
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<name>sparkExecutorMemory</name>
|
||||||
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<description>memory for individual executor</description>
|
||||||
|
</property>
|
||||||
|
<property>
|
||||||
|
<name>sparkExecutorCores</name>
|
||||||
|
<description>number of cores used by single executor</description>
|
||||||
|
</property>
|
||||||
|
<property>
|
||||||
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<name>oozieActionShareLibForSpark2</name>
|
||||||
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<description>oozie action sharelib for spark 2.*</description>
|
||||||
|
</property>
|
||||||
|
<property>
|
||||||
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<name>spark2ExtraListeners</name>
|
||||||
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<value>com.cloudera.spark.lineage.NavigatorAppListener</value>
|
||||||
|
<description>spark 2.* extra listeners classname</description>
|
||||||
|
</property>
|
||||||
|
<property>
|
||||||
|
<name>spark2SqlQueryExecutionListeners</name>
|
||||||
|
<value>com.cloudera.spark.lineage.NavigatorQueryListener</value>
|
||||||
|
<description>spark 2.* sql query execution listeners classname</description>
|
||||||
|
</property>
|
||||||
|
<property>
|
||||||
|
<name>spark2YarnHistoryServerAddress</name>
|
||||||
|
<description>spark 2.* yarn history server address</description>
|
||||||
|
</property>
|
||||||
|
<property>
|
||||||
|
<name>spark2EventLogDir</name>
|
||||||
|
<description>spark 2.* event log dir location</description>
|
||||||
|
</property>
|
||||||
|
</parameters>
|
||||||
|
|
||||||
|
<global>
|
||||||
|
<job-tracker>${jobTracker}</job-tracker>
|
||||||
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<name-node>${nameNode}</name-node>
|
||||||
|
<configuration>
|
||||||
|
<property>
|
||||||
|
<name>mapreduce.job.queuename</name>
|
||||||
|
<value>${queueName}</value>
|
||||||
|
</property>
|
||||||
|
<property>
|
||||||
|
<name>oozie.launcher.mapred.job.queue.name</name>
|
||||||
|
<value>${oozieLauncherQueueName}</value>
|
||||||
|
</property>
|
||||||
|
<property>
|
||||||
|
<name>oozie.action.sharelib.for.spark</name>
|
||||||
|
<value>${oozieActionShareLibForSpark2}</value>
|
||||||
|
</property>
|
||||||
|
|
||||||
|
</configuration>
|
||||||
|
</global>
|
||||||
|
<start to="deleteoutputpath"/>
|
||||||
|
<kill name="Kill">
|
||||||
|
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
|
||||||
|
</kill>
|
||||||
|
<action name="deleteoutputpath">
|
||||||
|
<fs>
|
||||||
|
<delete path="${outputPath}"/>
|
||||||
|
<mkdir path="${outputPath}"/>
|
||||||
|
<delete path="${workingDir}"/>
|
||||||
|
<mkdir path="${workingDir}"/>
|
||||||
|
</fs>
|
||||||
|
<ok to="atomicactions"/>
|
||||||
|
<error to="Kill"/>
|
||||||
|
</action>
|
||||||
|
|
||||||
|
<action name="atomicactions">
|
||||||
|
<spark xmlns="uri:oozie:spark-action:0.2">
|
||||||
|
<master>yarn</master>
|
||||||
|
<mode>cluster</mode>
|
||||||
|
<name>Produces the atomic action with the inferred by BIP! affiliation relations from Crossref</name>
|
||||||
|
<class>eu.dnetlib.dhp.actionmanager.bipaffiliations.PrepareAffiliationRelations</class>
|
||||||
|
<jar>dhp-aggregation-${projectVersion}.jar</jar>
|
||||||
|
<spark-opts>
|
||||||
|
--executor-memory=${sparkExecutorMemory}
|
||||||
|
--executor-cores=${sparkExecutorCores}
|
||||||
|
--driver-memory=${sparkDriverMemory}
|
||||||
|
--conf spark.extraListeners=${spark2ExtraListeners}
|
||||||
|
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
|
||||||
|
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
|
||||||
|
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
|
||||||
|
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
|
||||||
|
</spark-opts>
|
||||||
|
<arg>--inputPath</arg><arg>${inputPath}</arg>
|
||||||
|
<arg>--outputPath</arg><arg>${outputPath}</arg>
|
||||||
|
</spark>
|
||||||
|
<ok to="End"/>
|
||||||
|
<error to="Kill"/>
|
||||||
|
</action>
|
||||||
|
|
||||||
|
<end name="End"/>
|
||||||
|
</workflow-app>
|
||||||
|
|
@ -0,0 +1,145 @@
|
||||||
|
|
||||||
|
package eu.dnetlib.dhp.actionmanager.bipaffiliations;
|
||||||
|
|
||||||
|
import static org.junit.jupiter.api.Assertions.*;
|
||||||
|
|
||||||
|
import java.io.IOException;
|
||||||
|
import java.nio.file.Files;
|
||||||
|
import java.nio.file.Path;
|
||||||
|
|
||||||
|
import org.apache.commons.io.FileUtils;
|
||||||
|
import org.apache.hadoop.io.Text;
|
||||||
|
import org.apache.spark.SparkConf;
|
||||||
|
import org.apache.spark.api.java.JavaRDD;
|
||||||
|
import org.apache.spark.api.java.JavaSparkContext;
|
||||||
|
import org.apache.spark.sql.Dataset;
|
||||||
|
import org.apache.spark.sql.Encoders;
|
||||||
|
import org.apache.spark.sql.Row;
|
||||||
|
import org.apache.spark.sql.SparkSession;
|
||||||
|
import org.junit.jupiter.api.AfterAll;
|
||||||
|
import org.junit.jupiter.api.Assertions;
|
||||||
|
import org.junit.jupiter.api.BeforeAll;
|
||||||
|
import org.junit.jupiter.api.Test;
|
||||||
|
import org.slf4j.Logger;
|
||||||
|
import org.slf4j.LoggerFactory;
|
||||||
|
|
||||||
|
import com.fasterxml.jackson.databind.ObjectMapper;
|
||||||
|
|
||||||
|
import eu.dnetlib.dhp.schema.action.AtomicAction;
|
||||||
|
import eu.dnetlib.dhp.schema.common.ModelConstants;
|
||||||
|
import eu.dnetlib.dhp.schema.oaf.Relation;
|
||||||
|
import eu.dnetlib.dhp.schema.oaf.utils.CleaningFunctions;
|
||||||
|
import eu.dnetlib.dhp.schema.oaf.utils.IdentifierFactory;
|
||||||
|
|
||||||
|
public class PrepareAffiliationRelationsTest {
|
||||||
|
|
||||||
|
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
|
||||||
|
|
||||||
|
private static SparkSession spark;
|
||||||
|
|
||||||
|
private static Path workingDir;
|
||||||
|
private static final String ID_PREFIX = "50|doi_________::";
|
||||||
|
private static final Logger log = LoggerFactory
|
||||||
|
.getLogger(PrepareAffiliationRelationsTest.class);
|
||||||
|
|
||||||
|
@BeforeAll
|
||||||
|
public static void beforeAll() throws IOException {
|
||||||
|
workingDir = Files.createTempDirectory(PrepareAffiliationRelationsTest.class.getSimpleName());
|
||||||
|
|
||||||
|
log.info("Using work dir {}", workingDir);
|
||||||
|
|
||||||
|
SparkConf conf = new SparkConf();
|
||||||
|
conf.setAppName(PrepareAffiliationRelationsTest.class.getSimpleName());
|
||||||
|
|
||||||
|
conf.setMaster("local[*]");
|
||||||
|
conf.set("spark.driver.host", "localhost");
|
||||||
|
conf.set("hive.metastore.local", "true");
|
||||||
|
conf.set("spark.ui.enabled", "false");
|
||||||
|
conf.set("spark.sql.warehouse.dir", workingDir.toString());
|
||||||
|
conf.set("hive.metastore.warehouse.dir", workingDir.resolve("warehouse").toString());
|
||||||
|
|
||||||
|
spark = SparkSession
|
||||||
|
.builder()
|
||||||
|
.appName(PrepareAffiliationRelationsTest.class.getSimpleName())
|
||||||
|
.config(conf)
|
||||||
|
.getOrCreate();
|
||||||
|
}
|
||||||
|
|
||||||
|
@AfterAll
|
||||||
|
public static void afterAll() throws IOException {
|
||||||
|
FileUtils.deleteDirectory(workingDir.toFile());
|
||||||
|
spark.stop();
|
||||||
|
}
|
||||||
|
|
||||||
|
@Test
|
||||||
|
void testMatch() throws Exception {
|
||||||
|
|
||||||
|
String affiliationRelationsPath = getClass()
|
||||||
|
.getResource("/eu/dnetlib/dhp/actionmanager/bipaffiliations/doi_to_ror.json")
|
||||||
|
.getPath();
|
||||||
|
|
||||||
|
String outputPath = workingDir.toString() + "/actionSet";
|
||||||
|
|
||||||
|
PrepareAffiliationRelations
|
||||||
|
.main(
|
||||||
|
new String[] {
|
||||||
|
"-isSparkSessionManaged", Boolean.FALSE.toString(),
|
||||||
|
"-inputPath", affiliationRelationsPath,
|
||||||
|
"-outputPath", outputPath
|
||||||
|
});
|
||||||
|
|
||||||
|
final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
|
||||||
|
|
||||||
|
JavaRDD<Relation> tmp = sc
|
||||||
|
.sequenceFile(outputPath, Text.class, Text.class)
|
||||||
|
.map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class))
|
||||||
|
.map(aa -> ((Relation) aa.getPayload()));
|
||||||
|
|
||||||
|
// for (Relation r : tmp.collect()) {
|
||||||
|
// System.out.println(
|
||||||
|
// r.getSource() + "\t" + r.getTarget() + "\t" + r.getRelType() + "\t" + r.getRelClass() + "\t" + r.getSubRelType() + "\t" + r.getValidationDate() + "\t" + r.getDataInfo().getTrust() + "\t" + r.getDataInfo().getInferred()
|
||||||
|
// );
|
||||||
|
// }
|
||||||
|
// count the number of relations
|
||||||
|
assertEquals(16, tmp.count());
|
||||||
|
|
||||||
|
Dataset<Relation> dataset = spark.createDataset(tmp.rdd(), Encoders.bean(Relation.class));
|
||||||
|
dataset.createOrReplaceTempView("result");
|
||||||
|
|
||||||
|
Dataset<Row> execVerification = spark
|
||||||
|
.sql("select r.relType, r.relClass, r.source, r.target, r.dataInfo.trust from result r");
|
||||||
|
|
||||||
|
// verify that we have equal number of bi-directional relations
|
||||||
|
Assertions
|
||||||
|
.assertEquals(
|
||||||
|
8, execVerification
|
||||||
|
.filter(
|
||||||
|
"relClass='" + ModelConstants.HAS_AUTHOR_INSTITUTION + "'")
|
||||||
|
.collectAsList()
|
||||||
|
.size());
|
||||||
|
|
||||||
|
Assertions
|
||||||
|
.assertEquals(
|
||||||
|
8, execVerification
|
||||||
|
.filter(
|
||||||
|
"relClass='" + ModelConstants.IS_AUTHOR_INSTITUTION_OF + "'")
|
||||||
|
.collectAsList()
|
||||||
|
.size());
|
||||||
|
|
||||||
|
// check confidence value of a specific relation
|
||||||
|
String sourceDOI = "10.1105/tpc.8.3.343";
|
||||||
|
|
||||||
|
final String sourceOpenaireId = ID_PREFIX
|
||||||
|
+ IdentifierFactory.md5(CleaningFunctions.normalizePidValue("doi", sourceDOI));
|
||||||
|
|
||||||
|
Assertions
|
||||||
|
.assertEquals(
|
||||||
|
"0.7071067812", execVerification
|
||||||
|
.filter(
|
||||||
|
"source='" + sourceOpenaireId + "'")
|
||||||
|
.collectAsList()
|
||||||
|
.get(0)
|
||||||
|
.getString(4));
|
||||||
|
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
@ -0,0 +1,6 @@
|
||||||
|
{"DOI":"10.1061\/(asce)0733-9399(2002)128:7(759)","Matchings":[{"RORid":["https:\/\/ror.org\/01teme464"],"Confidence":0.73},{"RORid":["https:\/\/ror.org\/03yxnpp24"],"Confidence":0.7071067812}]}
|
||||||
|
{"DOI":"10.1105\/tpc.8.3.343","Matchings":[{"RORid":["https:\/\/ror.org\/02k40bc56"],"Confidence":0.7071067812}]}
|
||||||
|
{"DOI":"10.1161\/01.cir.0000013305.01850.37","Matchings":[{"RORid":["https:\/\/ror.org\/00qjgza05"],"Confidence":1}]}
|
||||||
|
{"DOI":"10.1142\/s021821650200186x","Matchings":[{"RORid":["https:\/\/ror.org\/05apxxy63"],"Confidence":1},{"RORid":["https:\/\/ror.org\/035xkbk20"],"Confidence":1}]}
|
||||||
|
{"DOI":"10.1061\/(asce)0733-9372(2002)128:7(575)","Matchings":[{"RORid":["https:\/\/ror.org\/04j198w64"],"Confidence":0.58}]}
|
||||||
|
{"DOI":"10.1161\/hy0202.103001","Matchings":[{"RORid":["https:\/\/ror.org\/057xtrt18"],"Confidence":0.7071067812}]}
|
||||||
Loading…
Reference in New Issue