DocumentCode :
3317365
Title :
Semantic Information Retrieval Based on CP-Nets
Author :
Boubekeur, Fatiha ; Boughanem, Mohand ; Tamine-Lechani, Lynda
Author_Institution :
Paul Sabatier Univ., Toulouse
fYear :
2007
fDate :
23-26 July 2007
Firstpage :
1
Lastpage :
7
Abstract :
This paper describes a flexible information retrieval approach based on conditional preferences networks (CP-Nets). Our contribution focuses on document indexing and query evaluation using CP-NET theoretical foundations. More precisely, we propose first a conceptual document indexing approach using WordNet for identifying concepts and association rules for discovering contextual relations between concepts. Secondly, we propose an algorithm for query evaluation using graph similartity measures.
Keywords :
data mining; directed graphs; indexing; ontologies (artificial intelligence); query formulation; text analysis; CP-Net; WordNet; association rule; conditional preferences network; document indexing; graph similartity measure; ontology; query evaluation; semantic information retrieval; Association rules; Indexing; Information retrieval; Ontologies; Optical computing; Performance evaluation; Query processing; Taxonomy; Vocabulary;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems Conference, 2007. FUZZ-IEEE 2007. IEEE International
Conference_Location :
London
ISSN :
1098-7584
Print_ISBN :
1-4244-1209-9
Electronic_ISBN :
1098-7584
Type :
conf
DOI :
10.1109/FUZZY.2007.4295470
Filename :
4295470
Link To Document :
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