@prefix foaf: . @prefix ns1: . @prefix ns2: . ns1:anna-lisa-gentile foaf:made ns2:iswc-2017-iswc-2017-posters-and-demos-611 . ns1:anni-coden foaf:made ns2:iswc-2017-iswc-2017-posters-and-demos-611 . ns1:daniel-gruhl foaf:made ns2:iswc-2017-iswc-2017-posters-and-demos-611 . ns1:petar-ristoski foaf:made ns2:iswc-2017-iswc-2017-posters-and-demos-611 . ns1:steve-welch foaf:made ns2:iswc-2017-iswc-2017-posters-and-demos-611 . @prefix ns3: . @prefix ns4: . ns4:proceedings ns3:hasPart ns2:iswc-2017-iswc-2017-posters-and-demos-611 . @prefix rdf: . @prefix rdfs: . ns2:iswc-2017-iswc-2017-posters-and-demos-611 rdf:type rdfs:Resource , ns3:InProceedings . @prefix owl: . ns2:iswc-2017-iswc-2017-posters-and-demos-611 rdf:type owl:Thing . @prefix ns8: . ns2:iswc-2017-iswc-2017-posters-and-demos-611 rdf:type ns8:ProceedingsPaper . @prefix ns9: . ns2:iswc-2017-iswc-2017-posters-and-demos-611 rdf:type ns9:SocialObject , ns9:InformationObject , ns9:Object ; rdfs:label "Language Agnostic Dictionary Extraction" . @prefix ns10: . ns2:iswc-2017-iswc-2017-posters-and-demos-611 owl:sameAs ns10:iswc-2017-iswc-2017-posters-and-demos-611 . @prefix ns11: . ns2:iswc-2017-iswc-2017-posters-and-demos-611 ns11:abstract "Ontologies are dynamic artifacts that evolve both in struc- ture and content. Keeping them up-to-date is a very expensive and crit- ical operation for any application relying on semantic Web technologies. In this paper we focus on evolving the content of an ontology by extract- ing relevant instances of ontological concepts from text. The novelty of this work is that we propose a technique which is (i) completely language independent, (ii) combines statistical methods with human-in-the-loop and (iii) exploits Linked Data as bootstrapping source. Experiments on a publicly available parallel medical corpus show comparable performances regardless of the chosen language." . @prefix dc: . ns2:iswc-2017-iswc-2017-posters-and-demos-611 dc:creator ns1:petar-ristoski , ns1:alfredo-alba , ns1:steve-welch , ns1:daniel-gruhl , ns1:anna-lisa-gentile , ns1:anni-coden . @prefix xsd: . ns2:iswc-2017-iswc-2017-posters-and-demos-611 dc:subject "ontology population"^^xsd:string , "multi-lingual"^^xsd:string , "dictionary extraction"^^xsd:string ; dc:title "Language Agnostic Dictionary Extraction" . @prefix ns14: . @prefix ns15: . ns2:iswc-2017-iswc-2017-posters-and-demos-611 ns14:authorList ns15:iswc-2017-iswc-2017-posters-and-demos-611 ; foaf:maker ns1:anni-coden , ns1:daniel-gruhl , ns1:alfredo-alba , ns1:steve-welch , ns1:petar-ristoski , ns1:anna-lisa-gentile ; ns3:abstract "Ontologies are dynamic artifacts that evolve both in struc- ture and content. Keeping them up-to-date is a very expensive and crit- ical operation for any application relying on semantic Web technologies. In this paper we focus on evolving the content of an ontology by extract- ing relevant instances of ontological concepts from text. The novelty of this work is that we propose a technique which is (i) completely language independent, (ii) combines statistical methods with human-in-the-loop and (iii) exploits Linked Data as bootstrapping source. Experiments on a publicly available parallel medical corpus show comparable performances regardless of the chosen language." ; ns3:hasAuthorList ns15:iswc-2017-iswc-2017-posters-and-demos-611 ; ns3:isPartOf ns4:proceedings ; ns3:keyword "ontology population"^^xsd:string , "multi-lingual"^^xsd:string , "dictionary extraction"^^xsd:string ; ns3:title "Language Agnostic Dictionary Extraction" . ns1:alfredo-alba foaf:made ns2:iswc-2017-iswc-2017-posters-and-demos-611 .