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.
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Sánchez, D., Isern, D., Moreno, A. (2006). Integrated Agent-Based Approach for Ontology-Driven Web Filtering. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4253. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893011_96
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DOI: https://doi.org/10.1007/11893011_96
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-46542-3
Online ISBN: 978-3-540-46544-7
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