Finding Appropriate Semantic Web Ontology Terms from Words

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dc.contributor.authorHan, Lushan
dc.contributor.authorYesha, Yelena
dc.contributor.authorSalkeld, Robin
dc.contributor.authorMartineau, Justin
dc.contributor.authorDing, Li
dc.contributor.authorJoshi, Anupam
dc.date.accessioned2018-11-29T17:28:11Z
dc.date.available2018-11-29T17:28:11Z
dc.date.issued2009-05-01
dc.description.abstractThe Semantic Web was designed to unambiguously define and use ontologies to encode data and knowledge on the Web. Many people find it difficult, however, to write complex RDF statements and queries because doing so requires familiarity with the appropriate ontologies and the terms they define. We describe a system that automatically maps a set of ordinary English words to a set of appropriate ontology terms on the Semantic Web. We use the Swoogle Semantic Web search engine to provide ontology terms and ontology correlation statistics, the WordNet lexical database to resolve synonyms, and a practical three step approach to find the most suitable ontology context as well as appropriate ontology terms.en_US
dc.description.urihttps://ebiquity.umbc.edu/paper/html/id/457/Finding-Appropriate-Semantic-Web-Ontology-Terms-from-Wordsen_US
dc.format.extent16 pagesen_US
dc.genretechnical reportsen_US
dc.identifierdoi:10.13016/M2CR5NH23
dc.identifier.urihttp://hdl.handle.net/11603/12124
dc.language.isoen_USen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Student Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.subjectOntology Searchingen_US
dc.subjectData interoperabilityen_US
dc.subjectSemantic Weben_US
dc.subjectUMBC Ebiquity Research Groupen_US
dc.titleFinding Appropriate Semantic Web Ontology Terms from Wordsen_US
dc.typeTexten_US

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