Integrated agent-based approach for ontology-driven web filtering

Authors:
David Sánchez;David Isern;Antonio Moreno
Affiliations:
Computer Science and Mathematics Department, Artificial Intelligence Research Group, Universitat Rovira i Virgili (URV), BANZAI, Tarragona, Catalonia, Spain;Computer Science and Mathematics Department, Artificial Intelligence Research Group, Universitat Rovira i Virgili (URV), BANZAI, Tarragona, Catalonia, Spain;Computer Science and Mathematics Department, Artificial Intelligence Research Group, Universitat Rovira i Virgili (URV), BANZAI, Tarragona, Catalonia, Spain
Venue:
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Year:
2006

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Abstract

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.