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Re-using Web Information for Building Flexible Domain Knowledge

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Advances in Artificial Intelligence (Canadian AI 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2671))

Abstract

Building a knowledge base for a given domain usually involves a subject matter expert (tutor) and a knowledge engineer. Our approach is to create mechanisms and tools that allow learners to build knowledge bases through a learning session on-line. The Dominant Meaning Classification System (DMCS) was designed to automatically extract, and classify segments of information (chunks). These chunks could well automate knowledge construction, instead of depending on the analysis of tutors. We use a dominant meaning space method to classify extracted chunks. Our experiment shows that this greatly improves domain knowledge

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References

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Author information

Authors and Affiliations

  1. Computer Science Department and Operational Research, University of Montreal, C.P. 6128, Succ. Centre-ville Montreal, Québec, H3C 3J7, Canada

    Mohammed Abdel Razek, Claude Frasson & Marc Kaltenbach

Authors
  1. Mohammed Abdel Razek
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  2. Claude Frasson
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  3. Marc Kaltenbach
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Editor information

Editors and Affiliations

  1. Department of Computing and Information Science, College of Physical and Engineering Science, University of Guelph, Guelph, Ontario, Canada, N1G 2W1

    Yang Xiang

  2. Dépt. Informatique-Génie Logiciel, Université Laval, Pavillon Pouliot, Ste-Foy, PQ, Canada, G1K 7P4

    Brahim Chaib-draa

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© 2003 Springer-Verlag Berlin Heidelberg

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Razek, M.A., Frasson, C., Kaltenbach, M. (2003). Re-using Web Information for Building Flexible Domain Knowledge. In: Xiang, Y., Chaib-draa, B. (eds) Advances in Artificial Intelligence. Canadian AI 2003. Lecture Notes in Computer Science, vol 2671. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44886-1_51

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  • DOI: https://doi.org/10.1007/3-540-44886-1_51

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40300-5

  • Online ISBN: 978-3-540-44886-0

  • eBook Packages: Springer Book Archive

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