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Self Modelling Knowledge Networks

  • Conference paper
On the Move to Meaningful Internet Systems 2005: OTM 2005 Workshops (OTM 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3762))

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Abstract

What the scope of knowledge management (KM) is concerned, the focus of attention is shifting towards inter-organisational aspects resulting in new requirements for the KM process. This paper introduces the concept of self modelling knowledge networks supporting KM in networks by means of dynamic self-configuration. Apart from introducing the concept, technical issues and design aspects of the implementation are discussed and a component model for an inter-organisational knowledge management system is introduced.

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Author information

Authors and Affiliations

  1. Chair of Business Informatics and Systems Engineering, Augsburg University, 86135, Augsburg, Germany

    Volker Derballa

  2. Software Technology, Delft University of Technology, Mekelweg 4, 2628 CD, Delft, The Netherlands

    Antonia Albani

Authors
  1. Volker Derballa
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  2. Antonia Albani
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Editor information

Editors and Affiliations

  1. STARLab, Vrije Universiteit Brussel (VUB), Bldg G/10, Pleinlaan 2, 1050, Brussels, Belgium

    Robert Meersman

  2. School of Computer Science and Information Technology, RMIT University, Bld 10.10, 376-392 Swanston Street, 3001, Melbourne, VIC, Australia

    Zahir Tari

  3. Facultad de Informática, Universidad Politécnica de Madrid, Campus de Montegancedo S/N, 28660, Boadilla del Monte, Madrid, Spain

    Pilar Herrero

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© 2005 Springer-Verlag Berlin Heidelberg

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Derballa, V., Albani, A. (2005). Self Modelling Knowledge Networks. In: Meersman, R., Tari, Z., Herrero, P. (eds) On the Move to Meaningful Internet Systems 2005: OTM 2005 Workshops. OTM 2005. Lecture Notes in Computer Science, vol 3762. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11575863_78

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  • DOI: https://doi.org/10.1007/11575863_78

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29739-0

  • Online ISBN: 978-3-540-32132-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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