請用此 Handle URI 來引用此文件: http://hdl.handle.net/11455/38242
標題: Knowledge Management for Computational Problem Solving
作者: D.T.Lee
G.C.Lee
Y.W.Huang
關鍵字: algorithmic research, collaborative knowledge management architecture, knowledge flow measurement, knowledge management, openCPS, problem-centred
摘要: 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.
URI: http://hdl.handle.net/11455/38242
顯示於類別:資訊科學與工程學系所

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