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Intelligent Conversational Channel for Learning Social Knowledge Among Communities

  • Conference paper
Knowledge-Based Intelligent Information and Engineering Systems (KES 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3213))

Abstract

Recent studies have shown two approaches in building learning system. Each corresponds to the two types of knowledge which are the content knowledge and social knowledge. The former is knowledge about knowing how to perform a task while the latter is more about best practices. Intelligent Conversational Channel (ICC) is built to support for learning social knowledge. In this paper, the two types of knowledge are explained and how ICC can be used to support learning among communities.

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Author information

Authors and Affiliations

  1. Faculty of Computer Science and Information Technology, University of Malaya, 50603, Kuala Lumpur, Malaysia

    S. M. F. D. Syed Mustapha

Authors
  1. S. M. F. D. Syed Mustapha
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Editor information

Editors and Affiliations

  1. KES International, 2nd Floor, 145-157 St John Street, EC1V 4PY, London, United Kingdom

    Mircea Gh. Negoita

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, BN2 4GJ, Moulsecoomb, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2004 Springer-Verlag Berlin Heidelberg

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Syed Mustapha, S.M.F.D. (2004). Intelligent Conversational Channel for Learning Social Knowledge Among Communities. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3213. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30132-5_50

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  • DOI: https://doi.org/10.1007/978-3-540-30132-5_50

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23318-3

  • Online ISBN: 978-3-540-30132-5

  • eBook Packages: Springer Book Archive

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