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International Conference on Practical Aspects of Knowledge Management

PAKM 2004: Practical Aspects of Knowledge Management pp 106–116Cite as

Knowledge Management in Data and Knowledge Intensive Environments

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3336))

Abstract

In this digital age, it is now possible to electronically collect a large amount of data and business knowledge. However, the next crucial step is to make sense of these data and knowledge in order to improve business processes. Unfortunately, most of the tools available today are not capable of evaluating a large amount of available data against the current business knowledge, in order to automatically suggest improvements and help a decision maker in the process of revising current business processes. In this paper, we outline a new framework that assists a decision maker in the process of evaluating and then if required revising current business knowledge. The tool presented in this paper has been successfully applied to test and revise knowledge bases in the medical domain, using real world data and a domain expert.

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Author information

Authors and Affiliations

  1. School of Computer Science and Engineering, The University of New South Wales, Sydney, Australia

    Ashesh Mahidadia & Paul Compton

Authors
  1. Ashesh Mahidadia
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  2. Paul Compton
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Editor information

Editors and Affiliations

  1. Faculty of Computer Science, Department of Knowledge and Business Engineering, University of Vienna, Bruenner Str. 72, 1210, Vienna, Austria

    Dimitris Karagiannis

  2. Institute for Information and Process Management, University of Applied Sciences St. Gallen, Teufener Strasse 2, 9000, St. Gallen, Switzerland

    Ulrich Reimer

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© 2004 Springer-Verlag Berlin Heidelberg

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Mahidadia, A., Compton, P. (2004). Knowledge Management in Data and Knowledge Intensive Environments. In: Karagiannis, D., Reimer, U. (eds) Practical Aspects of Knowledge Management. PAKM 2004. Lecture Notes in Computer Science(), vol 3336. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30545-3_10

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  • DOI: https://doi.org/10.1007/978-3-540-30545-3_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-24088-4

  • Online ISBN: 978-3-540-30545-3

  • eBook Packages: Springer Book Archive

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