This paper presents a vector space model approach, for representing documents and queries, using concepts instead of terms and WordNet as a light ontology. This way, information overlap is reduced with respect to the classic semantic expansion techniques. Experiments carried out on the MuchMore benchmark showed the effectiveness of the approach.
An ontological representation of documents and queries for information retrieval systems / M. Dragoni, C. da Costa Pereira, A.G.B. Tettamanzi - In: Trends in applied intelligent systems : 23rd International conference on industrial engineering and other applications of applied intelligent systems, IEA/AIE 2010 : Cordoba, Spain, june 1-4, 2010 : proceedings. 2. / [a cura di] N. García-Pedrajas ... [et al.]. - Berlin : Springer, 2010. - ISBN 9783642130243. - pp. 555-564 (( Intervento presentato al 23. convegno International Conference on Industrial & Engineering Applications of Artificial Intelligence & Expert Systems (IEA/AIE) tenutosi a Cordoba, Spain nel 2010.
An ontological representation of documents and queries for information retrieval systems
M. DragoniPrimo
;C. da Costa PereiraSecondo
;A.G.B. TettamanziUltimo
2010
Abstract
This paper presents a vector space model approach, for representing documents and queries, using concepts instead of terms and WordNet as a light ontology. This way, information overlap is reduced with respect to the classic semantic expansion techniques. Experiments carried out on the MuchMore benchmark showed the effectiveness of the approach.
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