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

Tuukka Ruotsalo and Eetu Mäkelä
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Tuukka Ruotsalo: Aalto University, Finland
Eetu Mäkelä: Aalto University, Finland

International Journal on Semantic Web and Information Systems (IJSWIS), 2009, vol. 5, issue 4, 39-56

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.

Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jswis0:v:5:y:2009:i:4:p:39-56

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