Abstract
The aim of this paper is to show the application of a Thesaurus based approach to several issues of interest for an Italian Publishing House. Final experimental results reveal good performance in terms of rate of retrieval and recall and then encourage the prosecution of the multidisciplinary research. © 2011 Springer-Verlag.
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Bevilacqua, V., Santarcangelo, V., Magarelli, A., Bianco, A., Mastronardi, G., & Cascini, E. (2011). A semantic search framework for document retrievals (literature, art and history) based on Thesaurus multiwordnet like. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6838 LNCS, pp. 456–463). https://doi.org/10.1007/978-3-642-24728-6_62
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