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

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  • Tuukka Ruotsalo

    (Aalto University, Finland)

  • Eetu Mäkelä

    (Aalto University, Finland)

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.

Suggested Citation

  • Tuukka Ruotsalo & Eetu Mäkelä, 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), IGI Global, vol. 5(4), pages 39-56, October.
    • Handle: RePEc:igg:jswis0:v:5:y:2009:i:4:p:39-56
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