@prefix ns0: . @prefix ns1: . ns1:eswc2012-paper-research-173-citation-count ns0:isIndicatorOf . ns1:eswc2012-paper-research-173-plumx-captures ns0:isIndicatorOf . ns1:eswc2012-paper-research-173-plumx-readers ns0:isIndicatorOf . ns1:eswc2012-paper-research-173-readers-mendeley ns0:isIndicatorOf . @prefix foaf: . @prefix ns3: . ns3:paul-groth foaf:made . ns3:jens-lehmann foaf:made . ns3:christophe-gueret foaf:made . @prefix ns4: . @prefix ns5: . ns5:proceedings ns4:hasPart . @prefix rdf: . rdf:type ns4:InProceedings . @prefix ns7: . rdf:type ns7:InformationObject , ns7:Object . @prefix rdfs: . rdf:type rdfs:Resource . @prefix owl: . rdf:type owl:Thing , ns7:SocialObject . @prefix ns10: . rdf:type ns10:ProceedingsPaper ; rdfs:label "Assessing Linked Data Mappings using Network Measures" ; owl:sameAs ; ns0:hasIndicator ns1:eswc2012-paper-research-173-citation-count , ns1:eswc2012-paper-research-173-plumx-captures , ns1:eswc2012-paper-research-173-plumx-readers , ns1:eswc2012-paper-research-173-readers-mendeley . @prefix ns11: . ns11:abstract "Assessing Linked Data Mappings using Network Measures Christophe Gu\u00E9ret, Paul Groth, Claus Stadler, and Jens Lehmann Linked Data is at its core about the setting of links between resources. Links provide enriched semantics, pointers to extra information and enable the merging of data sets. However, as the amount of Linked Data has grown, there has been the need to automate the creation of links and such automated approaches can create low-quality links or unsuitable network structures. In particular, it is difficult to know whether the links introduced improve or diminish the quality of Linked Data. In this paper, we present an extensible framework and a series of justified network measures that allow for the assessment of Linked Data mappings. We test the framework on a set of known good and bad links generated by common mapping systems and discuss which network measures show promise for use in assessment." . @prefix dc: . dc:creator ns3:christophe-gueret , ns3:jens-lehmann , ns3:paul-groth , ns3:claus-stadler ; dc:subject "linked data" , "quality assurance" , "network analysis" ; dc:title "Assessing Linked Data Mappings using Network Measures" . @prefix ns13: . @prefix ns14: . ns13:authorList ns14:authorList ; foaf:maker ns3:christophe-gueret , ns3:paul-groth , ns3:jens-lehmann , ns3:claus-stadler ; ns4:abstract "Assessing Linked Data Mappings using Network Measures Christophe Gu\u00E9ret, Paul Groth, Claus Stadler, and Jens Lehmann Linked Data is at its core about the setting of links between resources. Links provide enriched semantics, pointers to extra information and enable the merging of data sets. However, as the amount of Linked Data has grown, there has been the need to automate the creation of links and such automated approaches can create low-quality links or unsuitable network structures. In particular, it is difficult to know whether the links introduced improve or diminish the quality of Linked Data. In this paper, we present an extensible framework and a series of justified network measures that allow for the assessment of Linked Data mappings. We test the framework on a set of known good and bad links generated by common mapping systems and discuss which network measures show promise for use in assessment." ; ns4:doi "10.1007/978-3-642-30284-8_13" ; ns4:hasAuthorList ns14:authorList ; ns4:isPartOf ns5:proceedings . @prefix xsd: . ns4:keyword "network analysis"^^xsd:string , "quality assurance"^^xsd:string , "linked data"^^xsd:string ; ns4:title "Assessing Linked Data Mappings using Network Measures" ; ns4:isPublishedIn . ns3:claus-stadler foaf:made .