Semantic Measures Based on RDF Projections: Application to Content-Based Recommendation Systems - Archive ouverte HAL
Communication Dans Un Congrès Année : 2013

Semantic Measures Based on RDF Projections: Application to Content-Based Recommendation Systems

Résumé

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 ded-icated website: http://www.semantic-measures-library.org.
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Identifiants

  • HAL Id : hal-01061669 , version 1

Citer

Sébastien Harispe, Sylvie Ranwez, Stefan Janaqi, Jacky Montmain. Semantic Measures Based on RDF Projections: Application to Content-Based Recommendation Systems. On the Move to Meaningful Internet Systems: OTM 2013, Sep 2013, Graz, Austria. pp.606-615. ⟨hal-01061669⟩
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