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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: © 2011 |Pages: 19
ISBN13: 9781609605933|ISBN10: 1609605934|EISBN13: 9781609605940
DOI: 10.4018/978-1-60960-593-3.ch014
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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." Semantic Services, Interoperability and Web Applications: Emerging Concepts, edited by Amit Sheth, IGI Global, 2011, pp. 343-361. https://doi.org/10.4018/978-1-60960-593-3.ch014

APA

Ruotsalo, T. & Mäkelä, E. (2011). A Comparison of Corpus-Based and Structural Methods on Approximation of Semantic Relatedness in Ontologies. In A. Sheth (Ed.), Semantic Services, Interoperability and Web Applications: Emerging Concepts (pp. 343-361). IGI Global. https://doi.org/10.4018/978-1-60960-593-3.ch014

Chicago

Ruotsalo, Tuukka, and Eetu Mäkelä. "A Comparison of Corpus-Based and Structural Methods on Approximation of Semantic Relatedness in Ontologies." In Semantic Services, Interoperability and Web Applications: Emerging Concepts, edited by Amit Sheth, 343-361. Hershey, PA: IGI Global, 2011. https://doi.org/10.4018/978-1-60960-593-3.ch014

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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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