Overcoming Schema Heterogeneity between Linked Semantic Repositories to Improve Coreference Resolution

  • Authors:

  • Andriy Nikolov;Victoria Uren;Enrico Motta;Anne Roeck

  • Affiliations:

  • Knowledge Media Institute, The Open University, Milton Keynes, UK;Knowledge Media Institute, The Open University, Milton Keynes, UK;Knowledge Media Institute, The Open University, Milton Keynes, UK;Knowledge Media Institute, The Open University, Milton Keynes, UK

  • Venue:
  • ASWC '09 Proceedings of the 4th Asian Conference on The Semantic Web
  • Year:
  • 2009

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Abstract

Schema heterogeneity issues often represent an obstacle for discovering coreference links between individuals in semantic data repositories. In this paper we present an approach, which performs ontology schema matching in order to improve instance coreference resolution performance. A novel feature of the approach is its use of existing instance-level coreference links defined in third-party repositories as background knowledge for schema matching techniques. In our tests of this approach we obtained encouraging results, in particular, a substantial increase in recall in comparison with existing sets of coreference links.