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Overcoming Schema Heterogeneity between Linked Semantic Repositories to Improve Coreference Resolution

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The Semantic Web (ASWC 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5926))

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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.

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Nikolov, A., Uren, V., Motta, E., de Roeck, A. (2009). Overcoming Schema Heterogeneity between Linked Semantic Repositories to Improve Coreference Resolution. In: Gómez-Pérez, A., Yu, Y., Ding, Y. (eds) The Semantic Web. ASWC 2009. Lecture Notes in Computer Science, vol 5926. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10871-6_23

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  • DOI: https://doi.org/10.1007/978-3-642-10871-6_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10870-9

  • Online ISBN: 978-3-642-10871-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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