Finding Semantic Web Ontology Terms from Words

dc.contributor.authorHan, Lushan
dc.contributor.authorFinin, Tim
dc.contributor.authorYesha, Yelena
dc.date.accessioned2018-11-14T19:16:34Z
dc.date.available2018-11-14T19:16:34Z
dc.date.issued2009-10-27
dc.descriptionProceedings of the Eighth International Semantic Web Conference; Washington, D.C.; 25-29 October 2009en
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 it requires familiarity with the appropriate ontologies and the terms they define. We describe a framework that eases the experiences in authoring and querying RDF data, in which we focus on automatically finding a set of appropriate Semantic Web ontology terms from a set of words used as the labels of nodes and edges in an incoming semantic graph.en
dc.description.urihttps://ebiquity.umbc.edu/paper/html/id/466/Finding-Semantic-Web-Ontology-Terms-from-Wordsen
dc.format.extent2 pagesen
dc.genrepreprints
dc.genreconference papers and proceedingsen
dc.identifierdoi:10.13016/M26688P2V
dc.identifier.urihttp://hdl.handle.net/11603/11987
dc.language.isoenen
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.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 Searchen
dc.subjectOntology Reuseen
dc.subjectData Interoperabilityen
dc.subjectnatural language processingen
dc.subjectsemantic weben
dc.subjectUMBC Ebiquity Research Groupen
dc.titleFinding Semantic Web Ontology Terms from Wordsen
dc.typeTexten
dcterms.creatorhttps://orcid.org/0000-0002-6593-1792

Files

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.68 KB
Format:
Item-specific license agreed upon to submission
Description: