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Solving semantic ambiguity to improve semantic web based ontology matching

Gracia, Jorge; Lopez, Vanessa; d'Aquin, Mathieu; Sabou, Marta; Motta, Enrico and Mena, Eduardo (2007). Solving semantic ambiguity to improve semantic web based ontology matching. In: The 2nd International Workshop on Ontology Matching 2007, 11 Nov 2007, Busan, South Korea.

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A new paradigm in Semantic Web research focuses on the development of a new generation of knowledge-based problem solvers, which can exploit the massive amounts of formally specified information available on the Web, to produce novel intelligent functionalities. An important example of this paradigm can be found in the area of Ontology Matching, where new algorithms, which derive mappings from an exploration of multiple and heterogeneous online ontologies, have been proposed. While these algorithms exhibit very good performance, they rely on merely syntactical techniques to anchor the terms to be matched to those found on the Semantic Web. As a result, their precision can be affected by ambiguous words. In this paper, we aim to solve these problems by introducing techniques from Word Sense Disambiguation, which validate the mappings by exploring the semantics of the ontological terms involved in the matching process. Specifically we discuss how two techniques, which exploit the ontological context of the matched and anchor terms, and the information provided by WordNet, can be used to filter out mappings resulting from the incorrect anchoring of ambiguous terms. Our experiments show that each of the proposed disambiguation techniques, and even more their combination, can lead to an important increase in precision, without having too negative an impact on recall.

Item Type: Conference or Workshop Item
Copyright Holders: 2007 The Authors
Extra Information: OM-2007 Ontology Matching
Proceedings of the 2nd International Workshop on Ontology Matching (OM-2007)
Collocated with the 6th International Semantic Web Conference (ISWC-2007) and the 2nd Asian Semantic Web Conference (ASWC-2007)
Busan, Korea, November 11, 2007.
Edited by Pavel Shvaiko, Jérôme Euzenat, Fausto Giunchiglia, Bin He
ISSN 1613-0073
Academic Unit/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)
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Item ID: 23564
Depositing User: Kay Dave
Date Deposited: 04 Mar 2011 10:33
Last Modified: 08 May 2019 19:48
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