A unifying ontology modeling for knowledge management

An Pin Chen, Mu Yen Chen

研究成果: Conference contribution

4 引文 斯高帕斯(Scopus)

摘要

The knowledge-based economy is approaching rapidly, and knowledge management (KM) has disseminated in leaps and bounds in academic circles as well as in the business world. This paper develops a unifying framework to evaluate KM activities for supporting intelligent knowledge-based system (KBS) using web interface, and expert system technology to help inexperienced administrators in insuring the smooth operation of KM performance. This paper makes three important contributions: (1) it proposes an efficient KM Ontology Construction Algorithm to fast conceptualize KM domain concept; (2) it provides a hybrid model used for knowledge acquisition through skeletal concept model and IDEF (Integrated DEFinition function modeling) analysis; and (3) it presents a methodology for using KM ontology in building a unifying framework and evaluation guideline for KM that works well and effective.

原文English
主出版物標題Knowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings
發行者Springer Verlag
頁面318-324
頁數7
ISBN(列印)3540288945, 9783540288947
DOIs
出版狀態Published - 2005
事件9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005 - Melbourne, Australia
持續時間: 2005 九月 142005 九月 16

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
3681 LNAI
ISSN(列印)0302-9743
ISSN(電子)1611-3349

Other

Other9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005
國家/地區Australia
城市Melbourne
期間05-09-1405-09-16

All Science Journal Classification (ASJC) codes

  • 理論電腦科學
  • 電腦科學(全部)

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