T2LD: Interpreting and Representing Tables as Linked Data

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https://ebiquity.umbc.edu/paper/html/id/502/T2LD-Interpreting-and-Representing-Tables-as-Linked-Data

Permanent Link

http://hdl.handle.net/11603/12071

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UMBC Computer Science and Electrical Engineering Department
UMBC Faculty Collection

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Date

2010-11-07

Type of Work

conference papers and proceedings preprints
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This 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.

Subjects

linked data
human language technology
entity linking
Interpreting
UMBC Ebiquity Research Group

Abstract

We 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.