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