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Exploiting a Web of Semantic Data for Interpreting Tables

Authors: Zareen Syed, Tim Finin, Varish Mulwad, and Anupam Joshi

Book Title: Proceedings of the Second Web Science Conference

Date: April 26, 2010

Abstract: 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 if it could be appropriately exported or encoded in RDF, making it easier to share, understand and integrate with other information. This is especially true if it could be linked into the growing linked data cloud. We describe techniques to automatically infer a (partial) semantic model for information in tables using both table headings, if available, and the values stored in table cells and to export the data the table represents as linked data. The techniques have been prototyped for a subset of linked data that covers the core of Wikipedia.

Type: InProceedings

Tags: semantic web, linked data, human language technology, information retrieval

Google Scholar: fySpARNpwBUJ

Number of Google Scholar citations: 6 [show citations]

Number of downloads: 3396


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  1. (Publication) Exploiting a Web of Semantic Data for Interpreting Tables has presentation (Resource) Tables to Linked Data