Semantic information retrieval based on CP-Nets

被引：0
|
作者：
Boubekeur, Fatiha [1 ]
Boughanem, Mohand [1 ]
Tamine-Lechani, Lynda [1 ]
机构：
[1] Univ Toulouse 3, IRIT, F-31062 Toulouse 9, France
来源：
2007 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-4 | 2007年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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-NFT 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.
引用
收藏
页码：809 / 815
页数：7
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