From Theoretical Framework To Generic Semantic Measures Library

Sébastien Harispe (1) , Stefan Janaqi (1) , Sylvie Ranwez (1) , Jacky Montmain (1)

1 LGI2P - Laboratoire de Génie Informatique et Ingénierie de Production

Thanks to the ever-increasing use of the Semantic Web, a growing number of entities (e.g. documents) are characterized by non-ambiguous mean-ings. Based on this characterization, entities can subsequently be compared us-ing semantic measures. A plethora of measures have been designed given their critical importance in numerous treatments relying on ontologies. However, the improvement and use of semantic measures are currently hampered by the lack of a dedicated theoretical framework and an extensive generic software solution dedicated to them. To meet these needs, this paper presents a unified theoretical framework of graph-based semantic measures, from which we developed the open source Semantic Measures Library and toolkit; a solution that paves the way for straightforward design, computation and analysis of semantic measures for both users and developers. Downloads, documentation and technical support at dedicated website http://www.semantic-measures-library.org.

Mots clés: Semantic Similarity Measures; Unifying Framework; Semantic Measures Library; Software for Semantic Measure Computation

Domaines: Intelligence artificielle [cs.AI]

Sébastien Harispe, Stefan Janaqi, Sylvie Ranwez, Jacky Montmain. From Theoretical Framework To Generic Semantic Measures Library. ODBase 2013, 12th International Conference on Ontologies, Data Bases, and Applications of Semantics, Sep 2013, Graz, Austria. pp.739-742, ⟨10.1007/978-3-642-41033-8_98⟩. ⟨hal-01061683⟩