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_US
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_US
dc.description.urihttps://ebiquity.umbc.edu/paper/html/id/466/Finding-Semantic-Web-Ontology-Terms-from-Wordsen_US
dc.format.extent2 pagesen_US
dc.genreconference papers and proceedingsen_US
dc.genrepreprints
dc.identifierdoi:10.13016/M26688P2V
dc.identifier.urihttp://hdl.handle.net/11603/11987
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.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_US
dc.subjectOntology Reuseen_US
dc.subjectData Interoperabilityen_US
dc.subjectnatural language processingen_US
dc.subjectsemantic weben_US
dc.subjectUMBC Ebiquity Research Groupen_US
dc.titleFinding Semantic Web Ontology Terms from Wordsen_US
dc.typeTexten_US
dcterms.creatorhttps://orcid.org/0000-0002-6593-1792

Files

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.68 KB
Format:
Item-specific license agreed upon to submission
Description: