Integrated Agent-Based Approach for Ontology-Driven Web Filtering

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.

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