@prefix foaf: . @prefix ns1: . @prefix ns2: . ns1:terunobu-kume foaf:made ns2:iswc-2018-industry-279 . ns1:alejandro-llaves foaf:made ns2:iswc-2018-industry-279 . @prefix ns3: . @prefix ns4: . ns4:proceedings ns3:hasPart ns2:iswc-2018-industry-279 . @prefix rdf: . ns2:iswc-2018-industry-279 rdf:type ns3:InProceedings . @prefix rdfs: . ns2:iswc-2018-industry-279 rdfs:label "Populating the FLE Financial Knowledge Graph" . @prefix dc: . ns2:iswc-2018-industry-279 dc:creator ns1:manuel-pena-munoz , ns1:alejandro-llaves , ns1:terunobu-kume ; ns3:abstract "In Fujitsu Laboratories of Europe (FLE), we are developing a platform to get insights in the financial sector from the analysis of multiple heterogeneous data sources. At the core of the platform, there is a knowledge graph that is populated with new nodes and relationships as new data are ingested. The benefit of using a knowledge graph in our platform is threefold. First, it reduces the time spent on simple and repetitive data integration tasks. Second, the acquired knowledge is used by a virtual assistant to facilitate the data reconciliation process, thus users do not need to be experts to merge a new dataset. And third, it adds extra value to the customer information by linking knowledge to open and private data sources." . @prefix ns8: . ns2:iswc-2018-industry-279 ns3:hasAuthorList ns8:iswc-2018-industry-279 ; ns3:isPartOf ns4:proceedings . @prefix xsd: . ns2:iswc-2018-industry-279 ns3:keyword "knowledge graph"^^xsd:string , "dynamic data loading"^^xsd:string , "financial domain"^^xsd:string ; ns3:title "Populating the FLE Financial Knowledge Graph" . ns1:manuel-pena-munoz foaf:made ns2:iswc-2018-industry-279 . @prefix ns10: . ns10:iswc2018-author-alejandro-llaves-iswc-2018-industry-279 ns3:withDocument ns2:iswc-2018-industry-279 . ns10:iswc2018-author-manuel-pena-munoz-iswc-2018-industry-279 ns3:withDocument ns2:iswc-2018-industry-279 . ns10:iswc2018-author-terunobu-kume-iswc-2018-industry-279 ns3:withDocument ns2:iswc-2018-industry-279 .