Apport des ontologies pour le calcul de la similarit\'e s\'emantique au sein d'un syst\`eme de recommandation

• URL: http://arxiv.org/abs/2205.12539v1
• Date: Wed, 25 May 2022 07:27:10 GMT
• Title: Apport des ontologies pour le calcul de la similarit\'e s\'emantique au sein d'un syst\`eme de recommandation
• Authors: Le Ngoc Luyen, Marie-H\'el\`ene Abel, Philippe Gouspillou
• Abstract summary: Measurement of the semantic relatedness or likeness between terms, words, or text data plays an important role in different applications. We propose and carry on an approach for the calculation of semantic similarity using in the context of a recommender system.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Measurement of the semantic relatedness or likeness between terms, words, or text data plays an important role in different applications dealing with textual data such as knowledge acquisition, recommender system, and natural language processing. Over the past few years, many ontologies have been developed and used as a form of structured representation of knowledge bases for information systems. The calculation of semantic similarity from ontology has developed and depending on the context is complemented by other similarity calculation methods. In this paper, we propose and carry on an approach for the calculation of ontology-based semantic similarity using in the context of a recommender system.

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