Abstract
LOD (Linked Open Data) provides an infrastructure to exchange multiples ontologies with standard formats. LOD recommends some rules about data publishing, URI (Uniform Resource Identifier) assignment, URI reusing and ontology accessing. To make a local ontology interoperable and sharable with LOD, we have to make linkages URIs between local ontology and LOD. In order to decide appropriate URI for specific entity, OntoURIResolver collects RDF (Resource Description Framework) triples of multiple ontologies by 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 experiment comparison of sameas.org and OntoURIResolver with top 10 ranked authors of DBLP. Users can find a specific URI for entity and make interconnections with LOD to maximize the effectiveness of ontology through this service.
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Kim, T., Kim, P., Lee, S., Jung, H., Sung, WK. (2011). OntoURIResolver: URI Resolution and Recommendation Service Using LOD. In: Kim, Th., et al. U- and E-Service, Science and Technology. UNESST 2011. Communications in Computer and Information Science, vol 264. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27210-3_31
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DOI: https://doi.org/10.1007/978-3-642-27210-3_31
Publisher Name: Springer, Berlin, Heidelberg
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