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 Apr 2010, Raleigh, USA.

URL: http://events.linkeddata.org/ldow2010/

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.

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