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Ontology-Based Information Gathering Agents

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Web Intelligence: Research and Development (WI 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2198))

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Abstract

A well-known problem of World Wide Web (WWW) is that it contains ultra-large amount of information that often makes it difficult for users to find out their desired information. We propose and implement architecture of ontology-based information gathering agents. The ontology is represented by object-oriented approach with procedural attachments. The information gathering agents could carry out the search by wrapping the search engines of various kinds as their search methods and perform planning and integration of the partial information gathering results. The users also can represent their queries in terms of the shared domain ontology to reduce their conceptual gaps with agents. It shows how information gathering agents could utilize domain knowledge and integrate information gathered from disparate information resources and provide much more coherent results for the users.

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Reference

  1. Patrick Lambrix, Nahid Shahmehri and Niclas Wahllöf: A Default Extension to Description Logics for Use in an Intelligent Search Engine. Proceeding of IEEE System Sciences. (1998)

    Google Scholar 

  2. Rudi Studer, V. Richard Benjamins and Dieter Fensel.: Knowledge Engineering: Principles and models. Data & knowledge Engineering. Vol. 25. (1998) 161–197

    Article  MATH  Google Scholar 

  3. D.B. Lenat.: CYC: A Large-Scale Investment in Knowledge Infrastructure. Communication of ACM. Vol. 38, No. 11. (1995)

    Google Scholar 

  4. Miller, G.A.: WordNet: a lexical database for English. Communications of the ACM. Vol. 38, No.11. (1995) 39–41

    Article  Google Scholar 

  5. Nicola Guarino, Claudio Masolo, Guido Vetere.: OntoSeek: Content-Based Access to the Web. IEEE Intelligent Systems. Vol. 14. Issue 3. (1999)

    Google Scholar 

  6. Semantic Web. http://www.semanticweb.org.

  7. Yi-Jia Chen.: Ontology-based Information Gathering Agents. Master Thesis, National Tsing Hua University. (1999)

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© 2001 Springer-Verlag Berlin Heidelberg

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Chen, YJ., Soo, VW. (2001). Ontology-Based Information Gathering Agents. In: Zhong, N., Yao, Y., Liu, J., Ohsuga, S. (eds) Web Intelligence: Research and Development. WI 2001. Lecture Notes in Computer Science(), vol 2198. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45490-X_53

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  • DOI: https://doi.org/10.1007/3-540-45490-X_53

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42730-8

  • Online ISBN: 978-3-540-45490-8

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