@prefix ns0: . @prefix ns1: . ns1:eswc2014-paper-research-50-citation-count ns0:isIndicatorOf . ns1:eswc2014-paper-research-50-plumx-captures ns0:isIndicatorOf . ns1:eswc2014-paper-research-50-plumx-readers ns0:isIndicatorOf . ns1:eswc2014-paper-research-50-readers-mendeley ns0:isIndicatorOf . @prefix foaf: . @prefix ns3: . ns3:axel-cyrille-ngonga-ngomo foaf:made . @prefix ns4: . @prefix ns5: . ns5:proceedings ns4:hasPart . @prefix rdf: . @prefix ns7: . rdf:type ns7:InformationObject , ns7:Object , ns4:InProceedings . @prefix owl: . rdf:type owl:Thing , ns7:SocialObject . @prefix ns9: . rdf:type ns9:ProceedingsPaper . @prefix rdfs: . rdf:type rdfs:Resource ; rdfs:label "HiBISCuS: Hypergraph-Based Source Selection for SPARQL Endpoint Federation" ; owl:sameAs ; ns0:hasIndicator ns1:eswc2014-paper-research-50-citation-count , ns1:eswc2014-paper-research-50-plumx-captures , ns1:eswc2014-paper-research-50-plumx-readers , ns1:eswc2014-paper-research-50-readers-mendeley . @prefix ns11: . ns11:abstract "Efficient federated query processing is of significant importance to tame the large amount of data available on the Web of Data. Previous works have focused on generating optimized query execution plans for fast result retrieval. However, devising source selection approaches beyond triple pattern-wise source selection has not received much attention. This work presents HiBISCuS, a novel hypergraph-based source selection approach to federated SPARQL querying. Our approach can be directly combined with existing SPARQL query federation engines to achieve the same recall while querying fewer data sources. We extend three well-known SPARQL query federation engines -- DARQ, SPLENDID, and FedX -- with HiBISCus and compare our extensions with the original approaches on FedBench. Our evaluation shows that HiBISCuS can efficiently reduce the total number of sources selected without losing the recall. Moreover, our approach significantly reduces the execution time of the selected engines on most of the benchmark queries." . @prefix dc: . dc:creator ns3:muhammad-saleem , ns3:axel-cyrille-ngonga-ngomo ; dc:subject "Source selection" , "Hypergraphs" , "SPARQL query federation" , "Data summaries" ; dc:title "HiBISCuS: Hypergraph-Based Source Selection for SPARQL Endpoint Federation" . @prefix ns13: . @prefix ns14: . ns13:authorList ns14:authorList ; foaf:maker ns3:axel-cyrille-ngonga-ngomo , ns3:muhammad-saleem ; ns4:abstract "Efficient federated query processing is of significant importance to tame the large amount of data available on the Web of Data. Previous works have focused on generating optimized query execution plans for fast result retrieval. However, devising source selection approaches beyond triple pattern-wise source selection has not received much attention. This work presents HiBISCuS, a novel hypergraph-based source selection approach to federated SPARQL querying. Our approach can be directly combined with existing SPARQL query federation engines to achieve the same recall while querying fewer data sources. We extend three well-known SPARQL query federation engines -- DARQ, SPLENDID, and FedX -- with HiBISCus and compare our extensions with the original approaches on FedBench. Our evaluation shows that HiBISCuS can efficiently reduce the total number of sources selected without losing the recall. Moreover, our approach significantly reduces the execution time of the selected engines on most of the benchmark queries." ; ns4:doi "10.1007/978-3-319-07443-6_13" ; ns4:hasAuthorList ns14:authorList ; ns4:isPartOf ns5:proceedings . @prefix xsd: . ns4:keyword "SPARQL query federation"^^xsd:string , "Hypergraphs"^^xsd:string , "Data summaries"^^xsd:string , "Source selection"^^xsd:string ; ns4:title "HiBISCuS: Hypergraph-Based Source Selection for SPARQL Endpoint Federation" ; ns4:isPublishedIn . ns3:muhammad-saleem foaf:made .