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Using linked data to interpret tables

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

Book Title: Proceedings of the the First International Workshop on Consuming Linked Data

Date: November 08, 2010

Abstract: 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 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.

Type: InProceedings

Tags: semantic web, linked data, entity linking, relation discovery

Google Scholar: wfD8x7zG0rEJ

Number of Google Scholar citations: 7 [show citations]

Number of downloads: 1958


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