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.

A Semantic Search Framework for Document Retrievals (Literature, Art and History) Based on Thesaurus Multiwordnet Like / Bevilacqua, V.; Santarcangelo, V.; Magarelli, A.; Bianco, A.; Mastronardi, G.; Cascini, E.. - STAMPA. - 6838:(2011), pp. 456-463. [10.1007/978-3-642-24728-6_62]

A Semantic Search Framework for Document Retrievals (Literature, Art and History) Based on Thesaurus Multiwordnet Like

Bevilacqua, V.;Mastronardi, G.;
2011-01-01

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
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
978-364224727-9
Springer-Verlag
A Semantic Search Framework for Document Retrievals (Literature, Art and History) Based on Thesaurus Multiwordnet Like / Bevilacqua, V.; Santarcangelo, V.; Magarelli, A.; Bianco, A.; Mastronardi, G.; Cascini, E.. - STAMPA. - 6838:(2011), pp. 456-463. [10.1007/978-3-642-24728-6_62]
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/52437
Citazioni
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact