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Acquiring and Structuring Web Content with Knowledge Level Models

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Knowledge Acquisition, Modeling and Management (EKAW 1999)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1621))

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Abstract

Increasingly diverse and useful information repositories are being made available over the World Wide Web (WWW). However, information retrieved from the Web is often of limited use for problem solving because it lacks task-relevance, structure and context. This research draws on software agency as a medium through which model-driven knowledge engineering techniques can be applied to the WWW. The IMPS (Internet-based Multiagent Problem Solving) architecture described here involves software agents that can conduct structured on-line knowledge acquisition using distributed knowledge sources. Agent-generated domain ontologies are used to guide a flexible system of autonomous agents arranged in a server architecture.

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Author information

Authors and Affiliations

  1. Artificial Intelligence Group, Department of Psychology, University of Nottingham, University Park, Nottingham, NG7 2RD, UK

    Louise Crow & Nigel Shadbolt

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  1. Louise Crow
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  2. Nigel Shadbolt
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Editor information

Editors and Affiliations

  1. AIFB Institute for Applied Computer Science and Formal Description Methods, University of Karlsruhe, D-76128, Karlsruhe, Germany

    Dieter Fensel  & Rudi Studer  & 

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© 1999 Springer-Verlag

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Crow, L., Shadbolt, N. (1999). Acquiring and Structuring Web Content with Knowledge Level Models. In: Fensel, D., Studer, R. (eds) Knowledge Acquisition, Modeling and Management. EKAW 1999. Lecture Notes in Computer Science(), vol 1621. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48775-1_6

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  • DOI: https://doi.org/10.1007/3-540-48775-1_6

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66044-6

  • Online ISBN: 978-3-540-48775-3

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