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공공누리This item is licensed Korea Open Government License

dc.contributor.author
김태홍
dc.contributor.author
성원경
dc.contributor.author
이승우
dc.contributor.author
정한민
dc.date.accessioned
2019-08-28T07:41:22Z
dc.date.available
2019-08-28T07:41:22Z
dc.date.issued
2013-01-01
dc.identifier.issn
1343-4500
dc.identifier.uri
https://repository.kisti.re.kr/handle/10580/14188
dc.description.abstract
LOD (Linked Open Data) provides an infrastructure to exchange multiple ontologies with standard formats. LOD recommends some rules about data publishing, Uniform Resource Identifier (URI) assignment, URI reusing and ontology accessing. To make a local ontology interoperable and sharable with LOD, we have to make linkages of URIs between local ontology and LOD. In order to decide appropriate URIs for a specific entity, OntoURIResolver collects Resource Description Framework (RDF) triples of the entity from LOD using SPARQL, divides URIs into several groups by comparing RDF triples of URIs and recommends a canonical URI and entity name for each group using statistics of RDF triples. We experimentally compare sameAs.org and OntoURIResolver with a manually generated and verified test set. OntoURIResolver showed over 2 times more accuracy than sameAs.org. Users can find a specific URI for an entity and make interconnections with LOD to maximize the effectiveness of ontology through this service.
dc.language
eng
dc.relation.ispartofseries
Information : an international interdisciplinary journal
dc.title
OntoURIResolver Resolution and Recommendation of URIs Published in LOD
dc.subject.keyword
OntoURIResolver
dc.subject.keyword
URI Resolution
dc.subject.keyword
URI Recommendation
dc.subject.keyword
Ontology
dc.subject.keyword
Linked Open Data
Appears in Collections:
7. KISTI 연구성과 > 학술지 발표논문
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