An Ontology-Based Architecture of Cooperative Information Agents for the Web

• Fred Freitas UFAL
• Tércio de Morais Sampaio UFAL
• Rafael Cobra Teske UFSC
• Guilherme Bittencourt UFSC

Abstract

In the Web, there are classes of pages (e.g., call for papers’ and researchers’ page), which are interrelated forming clusters (Science). We propose a reusable architecture for multi-agent systems to retrieve and classify pages from these clusters, supported by data extraction. Crucial requirements: (a) a Web vision coupling this vision for contents to a functional vision (role of pages in data presentation); (b) ontologies to represent agents’ knowledge about tasks and the cluster. This web vision and agents’ cooperation accelerate retrieval. We got quite promising results with two agents for the page classes of scientific events and articles. A comparison with WebKB comes up with a new requirement: a detailed ontology cluster.

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