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.
OntoURIResolver; URI Resolution; URI Recommendation; Ontology; Linked Open Data
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