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A Comparison of Corpus-Based and Structural Methods on Approximation of Semantic Relatedness in Ontologies

A Comparison of Corpus-Based and Structural Methods on Approximation of Semantic Relatedness in Ontologies

Tuukka Ruotsalo, Eetu Mäkelä
Copyright: © 2009 |Volume: 5 |Issue: 4 |Pages: 18
ISSN: 1552-6283|EISSN: 1552-6291|ISSN: 1552-6283|EISBN13: 9781616920586|EISSN: 1552-6291|DOI: 10.4018/jswis.2009100103
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MLA

Ruotsalo, Tuukka, and Eetu Mäkelä. "A Comparison of Corpus-Based and Structural Methods on Approximation of Semantic Relatedness in Ontologies." IJSWIS vol.5, no.4 2009: pp.39-56. http://doi.org/10.4018/jswis.2009100103

APA

Ruotsalo, T. & Mäkelä, E. (2009). A Comparison of Corpus-Based and Structural Methods on Approximation of Semantic Relatedness in Ontologies. International Journal on Semantic Web and Information Systems (IJSWIS), 5(4), 39-56. http://doi.org/10.4018/jswis.2009100103

Chicago

Ruotsalo, Tuukka, and Eetu Mäkelä. "A Comparison of Corpus-Based and Structural Methods on Approximation of Semantic Relatedness in Ontologies," International Journal on Semantic Web and Information Systems (IJSWIS) 5, no.4: 39-56. http://doi.org/10.4018/jswis.2009100103

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Abstract

In this paper, the authors compare the performance of corpus-based and structural approaches to determine semantic relatedness in ontologies. A large light-weight ontology and a news corpus are used as materials. The results show that structural measures proposed by Wu and Palmer, and Leacock and Chodorow have superior performance when cut-off values are used. The corpus-based method Latent Semantic Analysis is found more accurate on specific rank levels. In further investigation, the approximation of structural measures and Latent Semantic Analysis show a low level of overlap and the methods are found to approximate different types of relations. The results suggest that a combination of corpus-based methods and structural methods should be used and appropriate cut-off values should be selected according to the intended use case.

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