Lee DT, Lee GC "Knowledge management for computational problem solving " JOURNAL OF UNIVERSAL COMPUTER SCIENCE 9 (6): 563-570 2003

Eugene Garfield eugene.garfield at THOMSON.COM
Fri Oct 7 11:13:22 EDT 2005


E-mail Addresses:
D.T. LEE : dtlee at iis.sinica.edu.tw

G.C. LEE : gclee at iis.sinica.edu.tw


Title: Knowledge management for computational problem solving

Author(s): Lee DT, Lee GC

Source: JOURNAL OF UNIVERSAL COMPUTER SCIENCE 9 (6): 563-570 2003

Document Type: Article    Language: English
Cited References: 21      Times Cited: 0

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.

Addresses: Lee DT (reprint author), Acad Sinica, Inst Informat Sci, Taipei,
115 Taiwan
Natl Taiwan Univ, Dept Comp Sci & Informat Engn, Taipei, 10764 Taiwan

E-mail Addresses: dtlee at iis.sinica.edu.tw, gclee at iis.sinica.edu.tw

Publisher: SPRINGER, 233 SPRING STREET, NEW YORK, NY 10013 USA
Subject Category: COMPUTER SCIENCE, SOFTWARE ENGINEERING; COMPUTER SCIENCE,
THEORY & METHODS
IDS Number: 958FO

ISSN: 0948-695X

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