Abstract
There are structured and semi-structured sources of knowledge on the Web that present implicit or explicit ontologies of domains. Knowledge level models have a role to play in structuring and extracting useful and focused problem solving knowledge from these Web sources. The IMPS (Internet-based Multi-agent Problem Solving) architecture described here is an agent-based architecture driven by knowledge level models. It is designed to facilitate the retrieval, restructuring, integration and formalization of problem solving knowledge from the Web. This research draws on models of agency particularly suited to supporting the functionality required of a system like IMPS.
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Crow, L., Shadbolt, N. (2000). Exploiting the Ontological Qualities of Web Resources: Task-Driven Agents Structure Knowledge for Problem Solving. In: Klusch, M., Kerschberg, L. (eds) Cooperative Information Agents IV - The Future of Information Agents in Cyberspace. CIA 2000. Lecture Notes in Computer Science(), vol 1860. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45012-2_20
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DOI: https://doi.org/10.1007/978-3-540-45012-2_20
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