Using linked data to interpret tables

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dc.contributor.authorMulwad, Varish
dc.contributor.authorFinin, Tim
dc.contributor.authorSyed, Zareen
dc.contributor.authorJoshi, Anupam
dc.date.accessioned2018-11-20T17:41:16Z
dc.date.available2018-11-20T17:41:16Z
dc.date.issued2010-11-08
dc.descriptionProceedings of the the First International Workshop on Consuming Linked Dataen_US
dc.description.abstractVast amounts of information is available in structured forms like spreadsheets, database relations, and tables found in documents and on the Web. We describe an approach that uses linked data to interpret such tables and associate their components with nodes in a reference linked data collection. Our proposed framework assigns a class (i.e. type) to table columns, links table cells to entities, and inferred relations between columns to properties. The resulting interpretation can be used to annotate tables, con firm existing facts in the linked data collection, and propose new facts to be added. Our implemented prototype uses DBpedia as the linked data collection and Wikitology for background knowledge. We evaluated its performance using a collection of tables from Google Squared, Wikipedia and the Web.en_US
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_US
dc.description.urihttps://ebiquity.umbc.edu/paper/html/id/505/Using-linked-data-to-interpret-tablesen_US
dc.format.extent12 pagesen_US
dc.genreconference papers and proceedings preprintsen_US
dc.identifierdoi:10.13016/M2NS0M24R
dc.identifier.urihttp://hdl.handle.net/11603/12070
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.subjectSemantic Weben_US
dc.subjectlinked dataen_US
dc.subjecthuman language technologyen_US
dc.subjectentity linkingen_US
dc.subjectinformation retrievalen_US
dc.subjectUMBC Ebiquity Research Groupen_US
dc.titleUsing linked data to interpret tablesen_US
dc.typeTexten_US

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