@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 .