An Ontological Representation of Documents and Queries for Information Retrieval Systems

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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 undertaken on MuchMore benchmark showed the effectiveness of the approach.

Mauro Dragoni, Célia da Costa Pereira, Andr

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Classic Semantic Expansion | IIR 2010 | Information Technology | Light Ontology | Space Model Approach |

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Added	29 Oct 2010
Updated	29 Oct 2010
Type	Conference
Year	2010
Where	IIR
Authors	Mauro Dragoni, Célia da Costa Pereira, Andrea Tettamanzi

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An Ontological Representation of Documents and Queries for Information Retrieval Systems

Classic Semantic Expansion | IIR 2010 | Information Technology | Light Ontology | Space Model Approach |

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