Integrated agent-based approach for ontology-driven web filtering

被引:0
|
作者
Sanchez, David [1 ]
Isern, David [1 ]
Moreno, Antonio [1 ]
机构
[1] Univ Rovira & Virgili, Comp Sci & Math Dept, Artificial Intelligence Res Grp, BANZAI, Tarragona 43007, Catalonia, Spain
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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
For knowledge-intensive industries it is of paramount importance to keep an up-to-date knowledge map of their domain in order to take the most appropriate strategic decisions. The Web offers a huge amount of valuable information, but its interaction is very hard and time consuming for humans because it requires to filter, analyse all related web pages and integrate it in a knowledge repository. This paper describes an integrated agent-based ontology-driven approach to retrieve web pages that contain data relevant to each of the main concepts of the domain of interest in a completely automatic, unsupervised and domain independent way.
引用
收藏
页码:758 / 765
页数:8
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