Data linking: capturing and utilising implicit schema-level relations

Nikolov, Andriy; Uren, Victoria and Motta, Enrico (2010). Data linking: capturing and utilising implicit schema-level relations. In: Linked Data on the Web (LDOW 2010) at 19th International World Wide Web Conference (WWW 2010), 27 April 2010, Raleigh, USA.

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Abstract

Schema-level heterogeneity represents an obstacle for automated discovery of coreference resolution links between individuals. Although there is a multitude of existing schema matching solutions, the Linked Data environment differs from the standard scenario assumed by these tools. In particular, large volumes of data are available, and repositories are connected into a graph by instance-level mappings. In this paper we describe how these features can be utilised to produce schema-level mappings which facilitate the instance coreference resolution process. Initial experiments applying this approach to public datasets have produced encouraging results.

Item Type:	Conference Item
Copyright Holders:	2010 The Authors
Extra Information:	CEUR Workshop Proceedings Vol.628 ISSN: 1613-0073 urn:nbn:de:0074-628-5 LDOW-2010 Linked Data on the Web 2010 Proceedings of the WWW2010 Workshop on Linked Data on the Web Raleigh, USA, April 27, 2010. Edited by Christian Bizer; Tom Heath; Tim Berners-Lee; Michael Hausenblas
Keywords:	data fusion; coreference resolution; linked data
Academic Unit/Department:	Knowledge Media Institute
Interdisciplinary Research Centre:	Centre for Research in Computing (CRC)
Related URLs:	http://events.linkeddata.org/ldow2010/pa...(Other) http://sunsite.informatik.rwth-aachen.de...(Other) http://ceur-ws.org/Vol-628/ldow2010_pape...(Other)
Item ID:	29276
Depositing User:	Kay Dave
Date Deposited:	19 Aug 2011 09:09
Last Modified:	25 Oct 2012 17:22
URI:	http://oro.open.ac.uk/id/eprint/29276

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