Inexact Matching of Ontology Graphs Using Expectation-Maximization

TitleInexact Matching of Ontology Graphs Using Expectation-Maximization
Publication TypeConference Paper
Year of Publication2006
AuthorsPrashant Doshi, Christopher Thomas
Conference NameInexact Matching of Ontology Graphs Using Expectation-Maximization
PublisherAAAI Press
Conference LocationBoston, MA
Abstract

We present a new method for mapping ontology schemas that address similar domains. The problem of ontology mapping is crucial since we are witnessing a decentralized development and publication of ontological data. We formulate the problem of inferring a match between two ontologies as a maximum likelihood problem, and solve it using the technique of expectation-maximization (EM). Specifically, we adopt directed graphs as our model for ontologies and use a generalized version of EM to arrive at a mapping between the nodes of the graphs. We exploit the structural and lexical similarity between the graphs, and improve on previous approaches by generating a many-one correspondence between the concept nodes. We provide preliminary experimental results in support of our method and outline its limitations.

Full Text

Prashant Doshi and Christopher Thomas, 'Inexact Matching of Ontology Graphs Using Expectation-Maximization,'in Proceedings of the 21st AAAI Conference on Artificial Intelligence, Boston, MA, July 16-20, 2006, Special Track on Artificial Intelligence and the Web, Menlo Park: AAAI Press, 2006, pp. 1277-1282.
pages: 1277-1282
year: 2006
venue url: http://www.aaai.org/Conferences/AAAI/aaai06.php
hasBookTitle: Proceedings of the 21st Conference of the American Association of Artificial Intelligence (AAAI 2006), Boston, MA, July 16?20, 2006, Special Track on AI and the Web

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