Lee, DT; Lee, GC "Knowledge management for computational problem solving" Journal of Universal Computer Science 9 (6). 2003. p.563-570 Springer NY.

[Eugene Garfield]

E-mail Addresses:
D.T. Lee : dtlee at iis.sinica.edu.tw
G.C. Lee : gclee at iis.sinica.edu.tw

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TITLE:          Knowledge management for computational problem solving
                (Article, English)
AUTHOR:         Lee, DT; Lee, GC
SOURCE:         JOURNAL OF UNIVERSAL COMPUTER SCIENCE 9 (6). 2003.
                p.563-570 SPRINGER, NEW YORK

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.

AUTHOR ADDRESS: DT Lee, Acad Sinica, Inst Informat Sci, Taipei 115, Taiwan