Our hypothesis is that assessing the relevance of a document with respect to a query is equivalent to assessing the conceptual similarity between the terms of the query and those of the document. In this article, we therefore propose a method of calculating conceptual similarity. Our information retrieval strategy is based on exploring an ontology and domain relations between concepts marked by verbal forms. Our approach overall is implemented by a prototype and the results obtained are evaluated. We thus show that a semantic IR system based on concepts improves recall with respect to a classic IR system and that a semantic IR system based on concepts and domain relations improves precision with respect to IR based on concepts alone.
CITATION STYLE
Buscaldi, D., Bessagnet, M. N. E., Royer, A., & Sallaberry, C. (2014). Using the semantics of texts for information retrieval: A concept- and domain relation-based approach. In Advances in Intelligent Systems and Computing (Vol. 241, pp. 257–266). Springer Verlag. https://doi.org/10.1007/978-3-319-01863-8_28
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