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Communications of the ACM
Information extraction as a basis for portable text classification systems
Information extraction as a basis for portable text classification systems
AGENTS '98 Proceedings of the second international conference on Autonomous agents
DEADLINER: building a new niche search engine
Proceedings of the ninth international conference on Information and knowledge management
Agent and ontology based information gathering on restricted web domains with AGATHE
Proceedings of the 2008 ACM symposium on Applied computing
A coordination framework for Cooperative Information Gathering
International Journal of Advanced Intelligence Paradigms
An Agent-Based Organizational Model for Cooperative Information Gathering
Advanced Internet Based Systems and Applications
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In the Web, extractor agents process classes of pages (like 'call for papers' pages, researchers' pages, etc), neglecting the relevant fact that some of them are interrelated forming clusters (e.g., science). We propose here an architecture for cognitive multi-agent systems to retrieve and classify pages from these clusters, based on data extraction. To enable cooperation, two design requirements are crucial: (a) a Web vision coupling a vision for contents (classes and attributes to be extracted) to a functional vision (the role of pages in information presentation); (b) explicit representation of agents' knowledge and abilities in the form of ontologies, both about the cluster's domain and agents' tasks. Employing this Web vision and agents' cooperation can accelerate the retrieval of useful pages. We got encouraging results with two agents for the page classes of scientific events and articles. A comparison of results to similar systems comes up with two requirements for such systems: functional categorization and a thoroughly detailed ontology of the cluster.