@article{Ruotsalo-IJSWIS:2009,
author = {Tuukka Ruotsalo and Eetu Mäkelä},
title = {A Comparison of Corpus-Based and Structural Methods on Approximation of Semantic Relatedness in Ontologies},
journal ={International Journal On Semantic Web and Information Systems},
volume = {5},
number = {4},
issn = {1552-6283},
year = {2009},
pages = {39--56},
doi = {DOI: 10.4018/ijswis.2009100103},
url = {http://www.ijswis.org/?q=node/31},
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.},       
publisher = {IGI Global}
}