To succed in a world characterisied by the accelerating pace of the "internet age", organisations must efficiently leverage their most valuable and underleveraged resource: the intellectual capital of their highly educated, skilled, and experienced employees. The compression of communication cycles and the omnipresence of information forces enterprises to seek a faster return on knowledge - knowledge that ages rapidly in a market place brimming with innovation. One of the most important prerequisites in achieving this return is the systematic management of the key success factor "knowledge" - previously left to manage itself "somehow". Thus, next-generation business solutions must be focussed on supporting the creation of value by adding knowledge-rich components as an integral part to the work process. Therefore, an integrated approach is needed, which combines issues from a large array of fields, originating from quite different areas such as business and organization sciences, cognitive sciences, and computer science.

The PAKM Conference Series offers a communication forum and meeting ground for practitioners and researchers engaged in developing and deploying advanced business solutions for the management of knowledge and intellectual capital. We seek attendance and contributions from persons who work at the leading edge of Knowledge Management, pursuing integrated approaches which consider organizational, technological and cultural issues. PAKM is a forum for people to share their views, to exhange ideas, to develop new insights, and to envision completely new kinds of solutions to Knowledge Management problems.

PAKM2004 addresses all aspects of Knowledge Management and their role in next-generation business solutions. We seek original contributions in the triangle of business and organization sciences, cognitive science, and computer science that represent a true advancement beyond the state-of-the-art of Knowledge Management:

• Business and organization sciences provide the overall framework for developing a knowledge management approach with a focus on the business aspects rather than on information technology aspects.
• Computer science provides the tools needed to build the information systems that are often required to make certain aspects of knowledge management solution work.
• Cognitive science helps to design knowledge management solutions in line with the cognitive capabilities of the people involved and optimally embedded in their work context.

Contributions to PAKM should address all three aspects. Besides a clear description of the real-world problems they address and the approach they propose, papers must point out the business benefits of the suggested solutions. Furthermore, papers should make clear in which aspects the suggested approach is novel.

Papers may address one or more of the following topics, or any other topic as long as it fits into the overall conference theme:

• Building and maintaining knowledge inventories
  - knowledge directories
  - automatic creation of semantic annotations
  - skill management
  
  
• Collaboration and knowledge sharing
  - social and cultural aspects of knowledge sharing communities
  - collaboration platforms
  - integration of processes across organizational boundaries
  
  
• Capturing and securing knowledge
  - knowledge capturing within business processes
  - lessons learned and debriefing
  - organizational memories
  
  
• Knowledge utilization
  - content-oriented search through ontology-based sematic annotations
  - integration of knowledge and business processes
  - graphical user interfaces for retrieving and visualizing knowledge
  
  
• Developing new knowledge
  - innovation management
  - ontology learning and development
  - knowledge mining (from data, text and the Web)
  
  
• Measurement
  - measuring the benefits of knowledge management solutions
  - benchmarking
  - intellectual capital

Xavier Boucher, Ecole des Mines de St. Etienne, France
Kemal A. Delic, Hewlett-Packard, France
Juan Manuel Dodero, University Carlos III Madrid, Spain
Joaquim Filipe, Escola Superior de Tecnologia Setubal, Portugal
Naoki Fukuta, Shizuoka University, Japan
Norbert Gronau, University of Oldenburg, Germany
Ulrich Geske, Fraunhofer Gesellschaft FIRST, Germany
Knut Hinkelmann, FH Solothurn Nordwestschweiz, Switzerland
Hans Hinterhuber, University of Innsbruck, Austria
Achim Hoffmann, University of New South Wales, Australia
Manfred Jeusfeld, University of Tilburg, Netherlands
Byeong Ho Kang, University of Tasmania, Tasmania
Niklaus Klaentschi, Swiss KM Forum, Switzerland
Edith Denman-Maier, Donau University Krems, Austria
Vladimir Marik, Czech Technical University, Czech Republic
Frank Maurer, University of Calgary, Canada
Hermann Maurer, Technical University of Graz, Austria
Heinrich Mayr, University of Klagenfurt, Austria
Michele Missikoff, Italian National Research Council, Italy
Katharina Morik, University of Dortmund, Germany
Nicos Mylonopoulos, ALBA, Greece
Peter Reimann, University of Sydney, Australia
Ulrich Reimer, Business Operation Systems, Switzerland
Debbie Richards, Macquarie University, Australia
Bodo Rieger, University of Osnabrueck, Germany
Isabel Seruca, Universidade Protucaleuse, Portugal
Marcin Sikorski, Gdansk University of Technology, Poland
Marcus Spies, Munich University, Germany
Stefen Staab, University of Karlsruhe, Germany
Rudi Studer, University of Karlsruhe, Germany
Ulrich Thiel, Fraunhofer Gesellschaft, Germany
A Min Tjoa, Technical University of Vienna, Austria
Klaus Tochtermann, I-Know Center Graz, Austria
Robert Trappl, Medical University of Vienna, Austria
Erich Tsui, Computer Sciences Corporation, Australia
Roland Wagner, Johannes Kepler University Linz, Austria
Fritjof Weber, University of Bremen, Germany
Rosina Weber, Drexel University, USA
Takahira Yamaguchi, Shizuoka University, Japan

• Submission of papers by August, 2, 2004

• Acceptance notices mailed by September, 20, 2004

• Final, camera-ready papers due by October, 11, 2004

Please submitt your contributions to the E-Mail Address: pakm2004@dke.univie.ac.at

Dimitris Karagiannis, Head of the Department of Knowledge Engineering, University of Vienna, Austria
Ulrich Reimer, Business Operations Systems, Switzerland

The conference is hosted by:
University of Vienna
Institute for Computer Science and Business Informatics
Department of Knowledge Engineering
Brünner Str. 72
1210 Vienna, Austria
Phone: +43-(0)1-4277-38481
Fax: +43-(0)1-4277-38484
E-Mail: pakm2004@dke.univie.ac.at
w ww.dke.univie.ac.at/pakm2004