T2LD: Interpreting and Representing Tables as Linked Data

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dc.contributor.authorMulwad, Varish
dc.contributor.authorFinin, Tim
dc.contributor.authorSyed, Zareen
dc.contributor.authorJoshi, Anupam
dc.date.accessioned2018-11-21T17:45:01Z
dc.date.available2018-11-21T17:45:01Z
dc.date.issued2010-11-07
dc.descriptionProceedings of the Poster and Demonstration Session at the 9th International Semantic Web Conference, CEUR Workshop Proceedingsen
dc.description.abstractWe describe a framework and prototype system for interpreting tables and extracting entities and relations from them, and producing a linked data representation of the table’s contents. This can be used to annotate the table or to add new facts to the linked data collection.en
dc.description.sponsorshipResearch supported in part by a gift from Microsoft Research, a Fulbright fellowship, NSF award IIS-0326460 and the Human Language Technology Center of Excellence.en
dc.description.urihttps://ebiquity.umbc.edu/paper/html/id/502/T2LD-Interpreting-and-Representing-Tables-as-Linked-Dataen
dc.format.extent4 pagesen
dc.genreconference papers and proceedings preprintsen
dc.identifierdoi:10.13016/M2TB0Z023
dc.identifier.urihttp://hdl.handle.net/11603/12071
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.subjectlinked dataen
dc.subjecthuman language technologyen
dc.subjectentity linkingen
dc.subjectInterpretingen
dc.subjectUMBC Ebiquity Research Groupen
dc.titleT2LD: Interpreting and Representing Tables as Linked Dataen
dc.typeTexten

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