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Refining instance coreferencing results using belief propagation

Nikolov, Andriy; Uren, Victoria; Motta, Enrico and De Roeck, Anne (2008). Refining instance coreferencing results using belief propagation. In: The Semantic Web: proceedings the of 3rd Asian SemanticWeb Conference, ASWC 2008, Springer, pp. 405–419.

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The problem of coreference resolution (finding individuals, which describe the same entity but have different URIs) is crucial when dealing with semantic data coming from different sources. Specific features of Semantic Web data (ontological constraints, data sparseness, varying quality of sources) are all significant for coreference resolution and must be exploited. In this paper we present a framework, which uses Dempster-Shafer belief propagation to capture these features and refine coreference resolution results produced by simpler string similarity techniques.

Item Type: Conference or Workshop Item
Copyright Holders: 2008 Springer-verlag Berlin Heidelberg
ISBN: 78-3-540-89703-3
ISSN: 0302-9743
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Research Group: Centre for Research in Computing (CRC)
Item ID: 23485
Depositing User: Kay Dave
Date Deposited: 10 Nov 2010 12:55
Last Modified: 01 Apr 2020 06:15
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