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Exploiting a Web of Semantic Data for Interpreting Tables
Much of the world’s knowledge is contained in structured documents like spreadsheets, database relations and tables in documents found on the Web and in print. The information in these tables might be much more valuable ...
Generating Linked Data by Inferring the Semantics of Tables
Vast amounts of information is encoded in structured tables found in documents, on the Web, and in spreadsheets or databases. Integrating or searching over this information benefits from understanding its intended meaning. ...
Using linked data to interpret tables
Vast 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 ...
T2LD: Interpreting and Representing Tables as Linked Data
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 ...