by Mauro Dragoni, Celia Da Costa Pereira, Andrea G B Tettamanzi
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.
Reference:
An ontological representation of documents and queries for information retrieval systems (Mauro Dragoni, Celia Da Costa Pereira, Andrea G B Tettamanzi), In Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part \II\, Springer-Verlag, 2010.
Bibtex Entry:
@inproceedings{dragoni_ontological_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.},
address = {Berlin, Heidelberg},
annote = {\{ACM\} \{ID:\} 1945914},
author = {Dragoni, Mauro and Pereira, Celia Da Costa and Tettamanzi, Andrea G B},
booktitle = {Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part \{II\}},
keywords = {SML-LIB-BIBLIO,lang:ENG},
mendeley-tags = {SML-LIB-BIBLIO,lang:ENG},
pages = {555--564},
publisher = {Springer-Verlag},
series = {IEA/AIE'10},
title = {{An ontological representation of documents and queries for information retrieval systems}},
year = {2010}
}