Practical Aspects of Knowledge Management: 5th International Conference, PAKM 2004, Vienna, Austria, December 2-3, 2004, Proceedings [Paperback]

This book contains the papers presented at the 5th International Conference on Pr- tical Aspects of Knowledge Management organized by the Department of Knowledge Management, Institute of Computer Science and Business Informatics, University of Vienna. The event took place on December 0203, 2004 in Vienna. The PAKM conference series offers a communication forum and meeting ground for practitioners and researchers engaged in developing and deploying advanced bu- ness solutions for the management of knowledge and intellectual capital. Contributions pursuing integrated approaches which consider organizational, technological and c- tural issues of knowledge management have been elected for presentation. PAKM is a forum for people to share their views, to exchange ideas, to develop new insights, and to envision completely new kinds of solutions for knowledge management problems. The accepted papers are of high quality and are not too specialized so that the main issues can be understood by someone outside the respective ?eld. This is crucial for an interdisciplinary exchange of ideas. Like its predecessors, PAKM 2004 featured two invited talks. It is a real joy seeing the visibility of the conferenceincrease and noting that kno- edge management researchers and practitioners from all over the world submitted - pers. This year, 163 papers and case studies were submitted, from which 48 were - cepted.The KMDL Knowledge Management Approach: Integrating Knowledge Conversions and Business Process Modeling.- A JXTA-Based Framework for Mobile Cooperation in Distributed Knowledge Spaces.- Towards an Evaluation Framework for Knowledge Management Systems.- I-KNOW What You Will Know in Knowledge Management.- Decision Aid to Support the Building of Competencies Development Scenarios Within Networks of SMEs.- MiNet: Building Ad-Hoc Peer-to-Peer Networks for Information Sharing Based on Mobile Agents.- Using Text Mining to Create Actionable Knowledge: Application to Network Failure IncilS·