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Authors: Flora Amato ; Aniello De Santo ; Francesco Gargiulo ; Vincenzo Moscato ; Fabio Persia ; Antonio Picariello and Giancarlo Sperlì

Affiliation: University of Naples ”Federico II”, Italy

Keyword(s): Semantic Search, Query Expansion, Information Retrieval.

Abstract: In this paper, we present a framework supporting information retrieval over corpora of documents using an automatic semantic query expansion approach. The main idea is to expand the set of words used as query terms exploiting the notion of semantic similarity between the concepts related to the search terms. We leverage existing lexical resources and similarity metrics computed among terms to generate - by a proper mapping into a vectorial space - an index for the fast retrieval of a set of terms “semantically correlated” to a given query term. The vector of expanded terms is then exploited in the query stage to retrieve documents that are significantly related to specific combinations of the query terms. Preliminary experimental results concerning efficiency and effectiveness of the proposed approach are reported and discussed.

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Paper citation in several formats:
Amato, F.; De Santo, A.; Gargiulo, F.; Moscato, V.; Persia, F.; Picariello, A. and Sperlì, G. (2015). A Novel Approach to Query Expansion based on Semantic Similarity Measures. In Proceedings of 4th International Conference on Data Management Technologies and Applications (DATA 2015) - KomIS; ISBN 978-989-758-103-8; ISSN 2184-285X, SciTePress, pages 344-353. DOI: 10.5220/0005579703440353

@conference{komis15,
author={Flora Amato. and Aniello {De Santo}. and Francesco Gargiulo. and Vincenzo Moscato. and Fabio Persia. and Antonio Picariello. and Giancarlo Sperlì.},
title={A Novel Approach to Query Expansion based on Semantic Similarity Measures},
booktitle={Proceedings of 4th International Conference on Data Management Technologies and Applications (DATA 2015) - KomIS},
year={2015},
pages={344-353},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005579703440353},
isbn={978-989-758-103-8},
issn={2184-285X},
}

TY - CONF

JO - Proceedings of 4th International Conference on Data Management Technologies and Applications (DATA 2015) - KomIS
TI - A Novel Approach to Query Expansion based on Semantic Similarity Measures
SN - 978-989-758-103-8
IS - 2184-285X
AU - Amato, F.
AU - De Santo, A.
AU - Gargiulo, F.
AU - Moscato, V.
AU - Persia, F.
AU - Picariello, A.
AU - Sperlì, G.
PY - 2015
SP - 344
EP - 353
DO - 10.5220/0005579703440353
PB - SciTePress

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