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.

Viewing alternatives

Item Actions

Export

You can export this page using these formats

About

• Item ORO ID
• 29276
• Item Type
• Conference or Workshop Item
• 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 or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
• Research Group
• Centre for Research in Computing (CRC)
• Copyright Holders
• © 2010 The Authors
• 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)
• Depositing User
• Kay Dave