AN EMPIRICAL EVALUATION OF SEMANTIC SIMILARITY MEASURES USING THE WORDNET AND UMLS ONTOLOGIES
Youbo Wang · OhioLink ETD Center (Ohio Library and Information Network) · 2005
Ontologies have been promoted as a sound basis for communications of Semantic Web, the next generation of the Web.The proliferation of multiple ontologies for heterogeneous information systems developed independently, however, requires tools to enable semantic interoperability established by discovering semantically appropriate mappings between different and independent ontologies.Finding this mapping requires some notion of a measure of semantic relatedness between concepts.Numerous such measures have been proposed for use within an ontology.The evaluation of these measures has been done predominately through experiments using these measures on word pairs from the WordNet ontology.The results are then compared to human judgments on these same pairs.In this work, an experimental software testbed that implements the semantic relatedness measures and automates their performance testing is developed to evaluate the validity, performance and applicability of these measures on two very different ontologies, WordNet and Unified Medical Language System (UMLS).