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.Comment: in French languag