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From Theoretical Framework to Generic Semantic Measures Library

Sébastien Harispe, Stefan Janaqi, Sylvie Ranwez, and Jacky Montmain

LGI2P, Parc Scientifique G. Besse, Ecole des mines d’Alès F-30035, Nîmes Cedex 1, France
sebastien.harispe@mines-ales.fr
stefan.janaqi@mines-ales.fr
sylvie.ranwez@mines-ales.fr
jacky.montmain@mines-ales.fr

Abstract. Semantic Measures (SMs) are of critical importance in multiple treatments relying on ontologies. However, the improvement and use of SMs are currently hampered by the lack of a dedicated theoretical framework and an extensive generic software solution. To meet these needs, this paper introduces a unified theoretical framework of graph-based SMs, from which we developed the open source Semantic Measures Library and toolkit, a solution that paves the way for design, computation and analysis of SMs. More information at dedicated website: http://www.semantic-measures-library.org.

Keywords: Semantic Similarity Measures, Unifying Framework, Semantic Measures Library, Software for Semantic Measure Computation

LNCS 8186, p. 739 ff.

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