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Third German Workshop on Experience Management (GWEM 2005)

  • Conference paper
Professional Knowledge Management (WM 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3782))

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Abstract

Experience Management (EM) as a sub-discipline of Knowledge Management (KM) deals with collecting, modeling, storing, reusing, evaluating, and maintaining experience knowledge, i.e., specific knowledge situated in a particular problem solving context.

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Author information

Authors and Affiliations

  1. Research Group Image Understanding and Pattern Recognition (IUPR), German Research Center for Artificial Intelligence (DFKI) GmbH, 67663, Kaiserslautern, Germany

    Armin Stahl

  2. Institute for Mathematics and Applied Computer Science, Data and Knowledge Management Group, University of Hildesheim, 31113, Hildesheim, Germany

    Martin Schaaf

  3. empolis GmbH, 67657, Kaiserslautern, Germany

    Ralph Traphöner

Authors
  1. Armin Stahl
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  2. Martin Schaaf
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  3. Ralph Traphöner
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Editor information

Editors and Affiliations

  1. Institute of Computer Science, University of Hildesheim, Marienburger Platz 22, 31141, Hildesheim, Germany

    Klaus-Dieter Althoff

  2. Knowledge Management Department, German Research Center for Artificial Intelligence (DFKI) GmbH, Kaiserslautern, Germany

    Andreas Dengel

  3. Department of Business Information Systems II, University of Trier, Trier, Germany

    Ralph Bergmann

  4. Department for Experience Management, Fraunhofer Institute for Experimental Software Engineering, Kaiserslautern

    Markus Nick

  5. Knowledge Management Department, German Research Center for Artificial Intelligence (DFKI) GmbH, Trippstadter Straße 122, 67663, Kaiserslautern, Germany

    Thomas Roth-Berghofer

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© 2005 Springer-Verlag Berlin Heidelberg

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Stahl, A., Schaaf, M., Traphöner, R. (2005). Third German Workshop on Experience Management (GWEM 2005). In: Althoff, KD., Dengel, A., Bergmann, R., Nick, M., Roth-Berghofer, T. (eds) Professional Knowledge Management. WM 2005. Lecture Notes in Computer Science(), vol 3782. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11590019_31

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  • DOI: https://doi.org/10.1007/11590019_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30465-4

  • Online ISBN: 978-3-540-31620-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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