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Communication Dans Un Congrès Année : 2014

The Semantic Measures Library: Assessing Semantic Similarity from Knowledge Representation Analysis

Résumé

Semantic similarity and relatedness are cornerstones of numerous treatments in which lexical units (e.g., terms, documents), concepts or instances have to be compared from texts or knowledge representations analysis. These semantic measures are central for NLP, information retrieval, sentiment analy-sis and approximate reasoning, to mention a few. In response to the lack of effi-cient and generic software solutions dedicated to knowledge-based semantic measures, i.e. those which rely on the analysis of semantic graphs and ontolo-gies, this paper presents the Semantic Measures Library (SML), an extensive and efficient Java library dedicated to the computation and analysis of these measures. The SML can be used with a large diversity of knowledge representa-tions, e.g., WordNet, SKOS thesaurus, RDF(S) and OWL ontologies. We also present the SML-Toolkit, a command-line program which gives (non-programmers) access to several functionalities of the SML, e.g. to compute se-mantic similarities. Website: http://www.semantic-measures-library.org
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Dates et versions

hal-01059488 , version 1 (01-09-2014)

Identifiants

Citer

Sébastien Harispe, Sylvie Ranwez, Stefan Janaqi, Jacky Montmain. The Semantic Measures Library: Assessing Semantic Similarity from Knowledge Representation Analysis. NLDB 2014, the 19th International Conference on Application of Natural Language to Information Systems, Jun 2014, Montpellier, France. pp.254-257, ⟨10.1007/978-3-319-07983-7_37⟩. ⟨hal-01059488⟩
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