Title: Knowledge Management for Computational Problem Solving$ Author: D. T. Lee*, G. C. Lee*, and Y.W. Huang Institute of Information Science, Academia Sinica, Taipei, Taiwan e-mail: {dtlee, gclee, ywhuang}@iis.sinica.edu.tw * Also with the Dept.Also with the Dept. of Comput. Sci. & Information Engineering, National Taiwan University $ This work was supported in part by the National Science Council under the Grants NSC-90-2219-E-001-001 and NSC90-2219-E-001-002. Abstract: Algorithmic research is an established knowledge engineering process that has allowed researchers to identify new or significant problems, to better understand existing approaches and experimental results, and to obtain new, effective and efficient solutions. While algorithmic researchers regularly contribute to this knowledge base by proposing new problems and novel solutions, the processes currently used to share this knowledge are inefficient, resulting in unproductive overhead. Most of these publication-centred processes lack explicit high-level knowledge structures to support efficient knowledge management. The authors describe a problem-centred collaborative knowledge management architecture associated with Computational Problem Solving (CPS). Specifically we articulate the structure and flow of such knowledge by making in-depth analysis of the needs of algorithmic researchers, and then extract the ontology. We also propose a knowledge flow measurement methodology to provide human-centred evaluations of research activities within the knowledge structure. This measurement enables us to highlight active research topics and to identify influential researchers. The collaborative knowledge management architecture was realized by implementing an Open Computational Problem Solving (OpenCPS) Knowledge Portal, which is an open-source project accessible at http://www.opencps.org. Keywords: Algorithmic Research, Knowledge Management, Problem-Centred, Collaborative Knowledge Management Architecture, Knowledge Flow Measurement, OpenCPS Categories: H.1, H.3, H.4 Proceedings 3rd Annual Int'l Conference for Knowledge Management, Graz, Austria, July 2003.