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Merge pull request 'New Model from affRo' (#487) from affRoModelModificationOnmain into main 

Reviewed-on: #487
This commit is contained in:
Claudio Atzori 2024-09-30 14:33:31 +02:00
parent 4e9f64e01a 371154d74f
commit 3854fcc5e0
6 changed files with 192 additions and 62 deletions
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147
dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/bipaffiliations/PrepareAffiliationRelations.java
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@ -45,6 +45,8 @@ public class PrepareAffiliationRelations implements Serializable {
public static final String BIP_INFERENCE_PROVENANCE = "openaire:affiliation"; public static final String BIP_INFERENCE_PROVENANCE = "openaire:affiliation";
public static final String OPENAIRE_DATASOURCE_ID = "10|infrastruct_::f66f1bd369679b5b077dcdf006089556"; public static final String OPENAIRE_DATASOURCE_ID = "10|infrastruct_::f66f1bd369679b5b077dcdf006089556";
public static final String OPENAIRE_DATASOURCE_NAME = "OpenAIRE"; public static final String OPENAIRE_DATASOURCE_NAME = "OpenAIRE";
public static final String DOI_URL_PREFIX = "https://doi.org/";
public static final int DOI_URL_PREFIX_LENGTH = 16;
public static <I extends Result> void main(String[] args) throws Exception { public static <I extends Result> void main(String[] args) throws Exception {
@ -97,35 +99,26 @@ public class PrepareAffiliationRelations implements Serializable {
private static void createActionSet(SparkSession spark, String crossrefInputPath, String pubmedInputPath, private static void createActionSet(SparkSession spark, String crossrefInputPath, String pubmedInputPath,
String openapcInputPath, String dataciteInputPath, String webcrawlInputPath, String publisherlInputPath, String openapcInputPath, String dataciteInputPath, String webcrawlInputPath, String publisherlInputPath,
String outputPath) { String outputPath) {
List<KeyValue> collectedFromCrossref = OafMapperUtils List<KeyValue> collectedfromOpenAIRE = OafMapperUtils
.listKeyValues(ModelConstants.CROSSREF_ID, "Crossref"); .listKeyValues(OPENAIRE_DATASOURCE_ID, OPENAIRE_DATASOURCE_NAME);
JavaPairRDD<Text, Text> crossrefRelations = prepareAffiliationRelations(
spark, crossrefInputPath, collectedFromCrossref); JavaPairRDD<Text, Text> crossrefRelations = prepareAffiliationRelationsNewModel(
spark, crossrefInputPath, collectedfromOpenAIRE);
List<KeyValue> collectedFromPubmed = OafMapperUtils
.listKeyValues(ModelConstants.PUBMED_CENTRAL_ID, "Pubmed");
JavaPairRDD<Text, Text> pubmedRelations = prepareAffiliationRelations( JavaPairRDD<Text, Text> pubmedRelations = prepareAffiliationRelations(
spark, pubmedInputPath, collectedFromPubmed); spark, pubmedInputPath, collectedfromOpenAIRE);
List<KeyValue> collectedFromOpenAPC = OafMapperUtils JavaPairRDD<Text, Text> openAPCRelations = prepareAffiliationRelationsNewModel(
.listKeyValues(ModelConstants.OPEN_APC_ID, "OpenAPC"); spark, openapcInputPath, collectedfromOpenAIRE);
JavaPairRDD<Text, Text> openAPCRelations = prepareAffiliationRelations(
spark, openapcInputPath, collectedFromOpenAPC);
List<KeyValue> collectedFromDatacite = OafMapperUtils
.listKeyValues(ModelConstants.DATACITE_ID, "Datacite");
JavaPairRDD<Text, Text> dataciteRelations = prepareAffiliationRelations( JavaPairRDD<Text, Text> dataciteRelations = prepareAffiliationRelations(
spark, dataciteInputPath, collectedFromDatacite); spark, dataciteInputPath, collectedfromOpenAIRE);
List<KeyValue> collectedFromWebCrawl = OafMapperUtils
.listKeyValues(OPENAIRE_DATASOURCE_ID, OPENAIRE_DATASOURCE_NAME);
JavaPairRDD<Text, Text> webCrawlRelations = prepareAffiliationRelations( JavaPairRDD<Text, Text> webCrawlRelations = prepareAffiliationRelations(
spark, webcrawlInputPath, collectedFromWebCrawl); spark, webcrawlInputPath, collectedfromOpenAIRE);
List<KeyValue> collectedfromPublisher = OafMapperUtils
.listKeyValues(OPENAIRE_DATASOURCE_ID, OPENAIRE_DATASOURCE_NAME);
JavaPairRDD<Text, Text> publisherRelations = prepareAffiliationRelationFromPublisher( JavaPairRDD<Text, Text> publisherRelations = prepareAffiliationRelationFromPublisher(
spark, publisherlInputPath, collectedfromPublisher); spark, publisherlInputPath, collectedfromOpenAIRE);
crossrefRelations crossrefRelations
.union(pubmedRelations) .union(pubmedRelations)
@ -137,12 +130,13 @@ public class PrepareAffiliationRelations implements Serializable {
outputPath, Text.class, Text.class, SequenceFileOutputFormat.class, BZip2Codec.class); outputPath, Text.class, Text.class, SequenceFileOutputFormat.class, BZip2Codec.class);
} }
private static JavaPairRDD<Text, Text> prepareAffiliationRelationFromPublisher(SparkSession spark, String inputPath, private static JavaPairRDD<Text, Text> prepareAffiliationRelationFromPublisherNewModel(SparkSession spark, String inputPath,
List<KeyValue> collectedfrom) { List<KeyValue> collectedfrom) {
Dataset<Row> df = spark Dataset<Row> df = spark
.read() .read()
.schema("`DOI` STRING, `Organizations` ARRAY<STRUCT<`RORid`:STRING,`Confidence`:DOUBLE>>") .schema(
"`DOI` STRING, `Organizations` ARRAY<STRUCT<`PID`:STRING, `Value`:STRING,`Confidence`:DOUBLE, `Status`:STRING>>")
.json(inputPath) .json(inputPath)
.where("DOI is not null"); .where("DOI is not null");
@ -150,28 +144,107 @@ public class PrepareAffiliationRelations implements Serializable {
} }
private static JavaPairRDD<Text, Text> prepareAffiliationRelationFromPublisher(SparkSession spark, String inputPath,
List<KeyValue> collectedfrom) {
Dataset<Row> df = spark
.read()
.schema("`DOI` STRING, `Organizations` ARRAY<STRUCT<`RORid`:STRING,`Confidence`:DOUBLE>>")
.json(inputPath)
.where("DOI is not null");
return getTextTextJavaPairRDD(collectedfrom, df.selectExpr("DOI", "Organizations as Matchings"));
}
private static <I extends Result> JavaPairRDD<Text, Text> prepareAffiliationRelations(SparkSession spark, private static <I extends Result> JavaPairRDD<Text, Text> prepareAffiliationRelations(SparkSession spark,
String inputPath, String inputPath,
List<KeyValue> collectedfrom) { List<KeyValue> collectedfrom) {
// load and parse affiliation relations from HDFS
Dataset<Row> df = spark
.read()
.schema("`DOI` STRING, `Matchings` ARRAY<STRUCT<`RORid`:STRING,`Confidence`:DOUBLE>>")
.json(inputPath)
.where("DOI is not null");
return getTextTextJavaPairRDD(collectedfrom, df);
}
private static <I extends Result> JavaPairRDD<Text, Text> prepareAffiliationRelationsNewModel(SparkSession spark,
String inputPath,
List<KeyValue> collectedfrom) {
// load and parse affiliation relations from HDFS // load and parse affiliation relations from HDFS
Dataset<Row> df = spark Dataset<Row> df = spark
.read() .read()
.schema("`DOI` STRING, `Matchings` ARRAY<STRUCT<`RORid`:STRING,`Confidence`:DOUBLE>>") .schema(
"`DOI` STRING, `Matchings` ARRAY<STRUCT<`PID`:STRING, `Value`:STRING,`Confidence`:DOUBLE, `Status`:STRING>>")
.json(inputPath) .json(inputPath)
.where("DOI is not null"); .where("DOI is not null");
return getTextTextJavaPairRDD(collectedfrom, df); return getTextTextJavaPairRDDNew(collectedfrom, df);
} }
private static JavaPairRDD<Text, Text> getTextTextJavaPairRDD(List<KeyValue> collectedfrom, Dataset<Row> df) { private static JavaPairRDD<Text, Text> getTextTextJavaPairRDD(List<KeyValue> collectedfrom, Dataset<Row> df) {
// unroll nested arrays
df = df
.withColumn("matching", functions.explode(new Column("Matchings")))
.select(
new Column("DOI").as("doi"),
new Column("matching.RORid").as("rorid"),
new Column("matching.Confidence").as("confidence"));
// prepare action sets for affiliation relations
return df
.toJavaRDD()
.flatMap((FlatMapFunction<Row, Relation>) row -> {
// DOI to OpenAIRE id
final String paperId = ID_PREFIX
+ IdentifierFactory.md5(CleaningFunctions.normalizePidValue("doi", removePrefix(row.getAs("doi"))));
// ROR id to OpenAIRE id
final String affId = GenerateRorActionSetJob.calculateOpenaireId(row.getAs("rorid"));
Qualifier qualifier = OafMapperUtils
.qualifier(
BIP_AFFILIATIONS_CLASSID,
BIP_AFFILIATIONS_CLASSNAME,
ModelConstants.DNET_PROVENANCE_ACTIONS,
ModelConstants.DNET_PROVENANCE_ACTIONS);
// format data info; setting `confidence` into relation's `trust`
DataInfo dataInfo = OafMapperUtils
.dataInfo(
false,
BIP_INFERENCE_PROVENANCE,
true,
false,
qualifier,
Double.toString(row.getAs("confidence")));
// return bi-directional relations
return getAffiliationRelationPair(paperId, affId, collectedfrom, dataInfo).iterator();
})
.map(p -> new AtomicAction(Relation.class, p))
.mapToPair(
aa -> new Tuple2<>(new Text(aa.getClazz().getCanonicalName()),
new Text(OBJECT_MAPPER.writeValueAsString(aa))));
}
private static JavaPairRDD<Text, Text> getTextTextJavaPairRDDNew(List<KeyValue> collectedfrom, Dataset<Row> df) {
// unroll nested arrays // unroll nested arrays
df = df df = df
.withColumn("matching", functions.explode(new Column("Matchings"))) .withColumn("matching", functions.explode(new Column("Matchings")))
.select( .select(
new Column("DOI").as("doi"), new Column("DOI").as("doi"),
new Column("matching.RORid").as("rorid"), new Column("matching.PID").as("pidtype"),
new Column("matching.Confidence").as("confidence")); new Column("matching.Value").as("pidvalue"),
new Column("matching.Confidence").as("confidence"),
new Column("matching.Status").as("status"))
.where("status = 'active'");
// prepare action sets for affiliation relations // prepare action sets for affiliation relations
return df return df
@ -180,10 +253,16 @@ public class PrepareAffiliationRelations implements Serializable {
// DOI to OpenAIRE id // DOI to OpenAIRE id
final String paperId = ID_PREFIX final String paperId = ID_PREFIX
+ IdentifierFactory.md5(CleaningFunctions.normalizePidValue("doi", row.getAs("doi"))); + IdentifierFactory.md5(CleaningFunctions.normalizePidValue("doi", removePrefix(row.getAs("doi"))));
// ROR id to OpenAIRE id // Organization to OpenAIRE identifier
final String affId = GenerateRorActionSetJob.calculateOpenaireId(row.getAs("rorid")); String affId = null;
if (row.getAs("pidtype").equals("ROR"))
// ROR id to OpenIARE id
affId = GenerateRorActionSetJob.calculateOpenaireId(row.getAs("pidvalue"));
else
// getting the OpenOrgs identifier for the organization
affId = row.getAs("pidvalue");
Qualifier qualifier = OafMapperUtils Qualifier qualifier = OafMapperUtils
.qualifier( .qualifier(
@ -212,6 +291,12 @@ public class PrepareAffiliationRelations implements Serializable {
new Text(OBJECT_MAPPER.writeValueAsString(aa)))); new Text(OBJECT_MAPPER.writeValueAsString(aa))));
} }
private static String removePrefix(String doi) {
if(doi.startsWith(DOI_URL_PREFIX))
return doi.substring(DOI_URL_PREFIX_LENGTH);
return doi;
}
private static List<Relation> getAffiliationRelationPair(String paperId, String affId, List<KeyValue> collectedfrom, private static List<Relation> getAffiliationRelationPair(String paperId, String affId, List<KeyValue> collectedfrom,
DataInfo dataInfo) { DataInfo dataInfo) {
return Arrays return Arrays

63
dhp-workflows/dhp-aggregation/src/test/java/eu/dnetlib/dhp/actionmanager/bipaffiliations/PrepareAffiliationRelationsTest.java
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@ -74,26 +74,34 @@ public class PrepareAffiliationRelationsTest {
@Test @Test
void testMatch() throws Exception { void testMatch() throws Exception {
String crossrefAffiliationRelationPath = getClass() String crossrefAffiliationRelationPathNew = getClass()
.getResource("/eu/dnetlib/dhp/actionmanager/bipaffiliations/doi_to_ror.json") .getResource("/eu/dnetlib/dhp/actionmanager/bipaffiliations/doi_to_ror.json")
.getPath(); .getPath();
String crossrefAffiliationRelationPath = getClass()
.getResource("/eu/dnetlib/dhp/actionmanager/bipaffiliations/doi_to_ror_old.json")
.getPath();
String publisherAffiliationRelationPath = getClass() String publisherAffiliationRelationPath = getClass()
.getResource("/eu/dnetlib/dhp/actionmanager/bipaffiliations/publishers") .getResource("/eu/dnetlib/dhp/actionmanager/bipaffiliations/publishers")
.getPath(); .getPath();
String publisherAffiliationRelationOldPath = getClass()
.getResource("/eu/dnetlib/dhp/actionmanager/bipaffiliations/publichers_old")
.getPath();
String outputPath = workingDir.toString() + "/actionSet"; String outputPath = workingDir.toString() + "/actionSet";
PrepareAffiliationRelations PrepareAffiliationRelations
.main( .main(
new String[] { new String[] {
"-isSparkSessionManaged", Boolean.FALSE.toString(), "-isSparkSessionManaged", Boolean.FALSE.toString(),
"-crossrefInputPath", crossrefAffiliationRelationPath, "-crossrefInputPath", crossrefAffiliationRelationPathNew,
"-pubmedInputPath", crossrefAffiliationRelationPath, "-pubmedInputPath", crossrefAffiliationRelationPath,
"-openapcInputPath", crossrefAffiliationRelationPath, "-openapcInputPath", crossrefAffiliationRelationPathNew,
"-dataciteInputPath", crossrefAffiliationRelationPath, "-dataciteInputPath", crossrefAffiliationRelationPath,
"-webCrawlInputPath", crossrefAffiliationRelationPath, "-webCrawlInputPath", crossrefAffiliationRelationPath,
"-publisherInputPath", publisherAffiliationRelationPath, "-publisherInputPath", publisherAffiliationRelationOldPath,
"-outputPath", outputPath "-outputPath", outputPath
}); });
@ -104,13 +112,9 @@ public class PrepareAffiliationRelationsTest {
.map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class)) .map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class))
.map(aa -> ((Relation) aa.getPayload())); .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 // count the number of relations
assertEquals(138, tmp.count()); assertEquals(150, tmp.count());// 18 + 24 *3 + 30 * 2 =
Dataset<Relation> dataset = spark.createDataset(tmp.rdd(), Encoders.bean(Relation.class)); Dataset<Relation> dataset = spark.createDataset(tmp.rdd(), Encoders.bean(Relation.class));
dataset.createOrReplaceTempView("result"); dataset.createOrReplaceTempView("result");
@ -121,7 +125,7 @@ public class PrepareAffiliationRelationsTest {
// verify that we have equal number of bi-directional relations // verify that we have equal number of bi-directional relations
Assertions Assertions
.assertEquals( .assertEquals(
69, execVerification 75, execVerification
.filter( .filter(
"relClass='" + ModelConstants.HAS_AUTHOR_INSTITUTION + "'") "relClass='" + ModelConstants.HAS_AUTHOR_INSTITUTION + "'")
.collectAsList() .collectAsList()
@ -129,21 +133,21 @@ public class PrepareAffiliationRelationsTest {
Assertions Assertions
.assertEquals( .assertEquals(
69, execVerification 75, execVerification
.filter( .filter(
"relClass='" + ModelConstants.IS_AUTHOR_INSTITUTION_OF + "'") "relClass='" + ModelConstants.IS_AUTHOR_INSTITUTION_OF + "'")
.collectAsList() .collectAsList()
.size()); .size());
// check confidence value of a specific relation // check confidence value of a specific relation
String sourceDOI = "10.1061/(asce)0733-9399(2002)128:7(759)"; String sourceDOI = "10.1089/10872910260066679";
final String sourceOpenaireId = ID_PREFIX final String sourceOpenaireId = ID_PREFIX
+ IdentifierFactory.md5(CleaningFunctions.normalizePidValue("doi", sourceDOI)); + IdentifierFactory.md5(CleaningFunctions.normalizePidValue("doi", sourceDOI));
Assertions Assertions
.assertEquals( .assertEquals(
"0.7071067812", execVerification "1.0", execVerification
.filter( .filter(
"source='" + sourceOpenaireId + "'") "source='" + sourceOpenaireId + "'")
.collectAsList() .collectAsList()
@ -151,11 +155,36 @@ public class PrepareAffiliationRelationsTest {
.getString(4)); .getString(4));
final String publisherid = ID_PREFIX final String publisherid = ID_PREFIX
+ IdentifierFactory.md5(CleaningFunctions.normalizePidValue("doi", "10.1007/s00217-010-1268-9")); + IdentifierFactory.md5(CleaningFunctions.normalizePidValue("doi", "10.1089/10872910260066679"));
final String rorId = "20|ror_________::" + IdentifierFactory.md5("https://ror.org/03265fv13"); final String rorId = "20|ror_________::" + IdentifierFactory.md5("https://ror.org/05cf8a891");
Assertions Assertions
.assertEquals( .assertEquals(
1, execVerification.filter("source = '" + publisherid + "' and target = '" + rorId + "'").count()); 2, execVerification.filter("source = '" + publisherid + "' and target = '" + rorId + "'").count());
Assertions
.assertEquals(
1, execVerification
.filter(
"source = '" + ID_PREFIX
+ IdentifierFactory
.md5(CleaningFunctions.normalizePidValue("doi", "10.1007/s00217-010-1268-9"))
+ "' and target = '" + "20|ror_________::"
+ IdentifierFactory.md5("https://ror.org/03265fv13") + "'")
.count());
Assertions
.assertEquals(
3, execVerification
.filter(
"source = '" + ID_PREFIX
+ IdentifierFactory
.md5(CleaningFunctions.normalizePidValue("doi", "10.1007/3-540-47984-8_14"))
+ "' and target = '" + "20|ror_________::"
+ IdentifierFactory.md5("https://ror.org/00a0n9e72") + "'")
.count());
} }
} }

19
dhp-workflows/dhp-aggregation/src/test/resources/eu/dnetlib/dhp/actionmanager/bipaffiliations/doi_to_ror.json
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@ -1,9 +1,10 @@
{"DOI":"10.1061\/(asce)0733-9399(2002)128:7(759)","Matchings":[{"RORid":"https:\/\/ror.org\/03yxnpp24","Confidence":0.7071067812},{"RORid":"https:\/\/ror.org\/01teme464","Confidence":0.89}]} {"DOI":"10.1021\/ac020069k","Matchings":[{"PID":"ROR","Value":"https:\/\/ror.org\/01f5ytq51","Status":"active","Confidence":1}]}
{"DOI":"10.1105\/tpc.8.3.343","Matchings":[{"RORid":"https:\/\/ror.org\/02k40bc56","Confidence":0.7071067812}]} {"DOI":"10.1161\/01.cir.0000013846.72805.7e","Matchings":[{"PID":"ROR","Value":"https:\/\/ror.org\/02pttbw34","Status":"active","Confidence":1}]}
{"DOI":"10.1161\/01.cir.0000013305.01850.37","Matchings":[{"RORid":"https:\/\/ror.org\/00qjgza05","Confidence":1}]} {"DOI":"10.1161\/hy02t2.102992","Matchings":[{"PID":"ROR","Value":"https:\/\/ror.org\/00qqv6244","Status":"active","Confidence":1},{"PID":"ROR","Value":"https:\/\/ror.org\/00p991c53","Status":"active","Confidence":1}]}
{"DOI":"10.1142\/s021821650200186x","Matchings":[{"RORid":"https:\/\/ror.org\/035xkbk20","Confidence":1},{"RORid":"https:\/\/ror.org\/05apxxy63","Confidence":1}]} {"DOI":"10.1126\/science.1073633","Matchings":[{"PID":"ROR","Value":"https:\/\/ror.org\/03xez1567","Status":"active","Confidence":1},{"PID":"ROR","Value":"https:\/\/ror.org\/006w34k90","Status":"active","Confidence":1}]}
{"DOI":"10.1061\/(asce)0733-9372(2002)128:7(575)","Matchings":[{"RORid":"https:\/\/ror.org\/04j198w64","Confidence":0.82}]} {"DOI":"10.1089\/10872910260066679","Matchings":[{"PID":"ROR","Value":"https:\/\/ror.org\/05cf8a891","Status":"active","Confidence":1}]}
{"DOI":"10.1061\/(asce)0733-9372(2002)128:7(588)","Matchings":[{"RORid":"https:\/\/ror.org\/03m8km719","Confidence":0.8660254038},{"RORid":"https:\/\/ror.org\/02aze4h65","Confidence":0.87}]} {"DOI":"10.1108\/02656719610116117","Matchings":[{"PID":"ROR","Value":"https:\/\/ror.org\/03mnm0t94","Status":"active","Confidence":1},{"PID":"ROR","Value":"https:\/\/ror.org\/007tn5k56","Status":"active","Confidence":1}]}
{"DOI":"10.1161\/hy0202.103001","Matchings":[{"RORid":"https:\/\/ror.org\/057xtrt18","Confidence":0.7071067812}]} {"DOI":"10.1080\/01443610050111986","Matchings":[{"PID":"ROR","Value":"https:\/\/ror.org\/001x4vz59","Status":"active","Confidence":1},{"PID":"ROR","Value":"https:\/\/ror.org\/01tmqtf75","Status":"active","Confidence":1}]}
{"DOI": "10.1080/13669877.2015.1042504", "Matchings": [{"Confidence": 1.0, "RORid": "https://ror.org/03265fv13"}]} {"DOI":"10.1021\/cm020118+","Matchings":[{"PID":"ROR","Value":"https:\/\/ror.org\/02cf1je33","Confidence":1,"Status":"inactive"},{"PID":"ROR","Value":"https:\/\/ror.org\/01hvx5h04","Confidence":1,"Status":"active"}]}
{"DOI": "10.1007/3-540-47984-8_14", "Matchings": [{"Confidence": 1.0, "RORid": "https://ror.org/00a0n9e72"}]} {"DOI":"10.1161\/hc1202.104524","Matchings":[{"PID":"ROR","Value":"https:\/\/ror.org\/040r8fr65","Status":"active","Confidence":1},{"PID":"ROR","Value":"https:\/\/ror.org\/04fctr677","Status":"active","Confidence":1}]}
{"DOI":"10.1021\/ma011134f","Matchings":[{"PID":"ROR","Value":"https:\/\/ror.org\/04tj63d06","Status":"active","Confidence":1}]}

9
dhp-workflows/dhp-aggregation/src/test/resources/eu/dnetlib/dhp/actionmanager/bipaffiliations/doi_to_ror_old.json Normal file
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@ -0,0 +1,9 @@
{"DOI":"10.1061\/(asce)0733-9399(2002)128:7(759)","Matchings":[{"RORid":"https:\/\/ror.org\/03yxnpp24","Confidence":0.7071067812},{"RORid":"https:\/\/ror.org\/01teme464","Confidence":0.89}]}
{"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\/035xkbk20","Confidence":1},{"RORid":"https:\/\/ror.org\/05apxxy63","Confidence":1}]}
{"DOI":"10.1061\/(asce)0733-9372(2002)128:7(575)","Matchings":[{"RORid":"https:\/\/ror.org\/04j198w64","Confidence":0.82}]}
{"DOI":"10.1061\/(asce)0733-9372(2002)128:7(588)","Matchings":[{"RORid":"https:\/\/ror.org\/03m8km719","Confidence":0.8660254038},{"RORid":"https:\/\/ror.org\/02aze4h65","Confidence":0.87}]}
{"DOI":"10.1161\/hy0202.103001","Matchings":[{"RORid":"https:\/\/ror.org\/057xtrt18","Confidence":0.7071067812}]}
{"DOI": "10.1080/13669877.2015.1042504", "Matchings": [{"Confidence": 1.0, "RORid": "https://ror.org/03265fv13"}]}
{"DOI": "https://doi.org/10.1007/3-540-47984-8_14", "Matchings": [{"Confidence": 1.0, "RORid": "https://ror.org/00a0n9e72"}]}

6
dhp-workflows/dhp-aggregation/src/test/resources/eu/dnetlib/dhp/actionmanager/bipaffiliations/publichers_old/publisher Normal file
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@ -0,0 +1,6 @@
{"DOI": "10.1007/s00217-010-1268-9", "Authors": [{"Name": {"Full": "Martin Zarnkow", "First": null, "Last": null}, "Raw_affiliations": ["TU M\u00fcnchen, Lehrstuhl f\u00fcr Brau- und Getr\u00e4nketechnologie"], "Organization_PIDs": []}, {"Name": {"Full": "Andrea Faltermaier", "First": null, "Last": null}, "Raw_affiliations": ["Lehrstuhl f\u00fcr Brau- und Getr\u00e4nketechnologie"], "Organization_PIDs": []}, {"Name": {"Full": "Werner Back", "First": null, "Last": null}, "Raw_affiliations": ["Lehrstuhl f\u00fcr Technologie der Brauerei I"], "Organization_PIDs": []}, {"Name": {"Full": "Martina Gastl", "First": null, "Last": null}, "Raw_affiliations": ["Lehrstuhl f\u00fcr Brau- und Getr\u00e4nketechnologie"], "Organization_PIDs": []}, {"Name": {"Full": "Elkek K. Arendt", "First": null, "Last": null}, "Raw_affiliations": ["University College Cork"], "Organization_PIDs": [{"RORid": "https://ror.org/03265fv13", "Confidence": 1}]}], "Organizations": [{"RORid": "https://ror.org/03265fv13", "Confidence": 1}]}
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10
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@ -1,6 +1,6 @@
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