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Theoretical Formulas of Semantic Measure: A Survey

Kalthoum Rezgui, Hédia Mhiri, and Khaled Ghédira
Higher Institute of Management/SOIE Laboratory, Tunis, Tunisia
Abstract—In recent years, several semantic similarity and relatedness measures have been developed and applied in many domains including linguistics, biomedical informatics, GeoInformatics, and Semantic Web. This paper discusses different semantic measures which compute similarity and relatedness scores between concepts based on a knowledge representation model offered by ontologies and semantic networks. The benchmarks and approaches used for the evaluation of semantic similarity methods are also described. The aim of this paper is to give a comprehensive view of these measures which helps researchers to choose the best semantic similarity or relatedness metric for their needs.

Index Terms—semantic similarity, semantic relatedness, ontology, semantic Web, WordNet

Cite: Kalthoum Rezgui, Hédia Mhiri, and Khaled Ghédira, "Theoretical Formulas of Semantic Measure: A Survey," Journal of Emerging Technologies in Web Intelligence, Vol. 5, No. 4, pp. 333-342, November 2013. doi:10.4304/jetwi.5.4.333-342
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