Using Set of Experience in the Process of Transforming Information into Knowledge

被引:26
|
作者
Sanin, Cesar [1 ]
Szczerbicki, Edward [2 ]
机构
[1] Univ Newcastle, Fac Engn & Built Environm, Newcastle, NSW, Australia
[2] Univ Newcastle, Newcastle, NSW, Australia
关键词
business intelligence; conceptual modelling for knowledge management; DSS and expert systems; explicit knowledge; knowledge acquisition; knowledge and information management; knowledge-based systems engineering; knowledge representation; intelligent support systems; modelling concepts and information integration tools; strategic management information systems; XML;
D O I
10.4018/jeis.2006040104
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Some of the most complicated issues about knowledge are its acquisition and its conversion into explicit knowledge. Nevertheless, among all knowledge forms, storing formal decision events in a knowledge-explicit way becomes an important advance. The set of experience knowledge structure can help in achieving this purpose. Explicit knowledge of formal decision events emerges to help managers in decision-making because, usually, they use previous similar or equal decisions to help themselves in new decision-making processes. The Knowledge Supply Chain System (KSCS) is a platform proposed to administer formal decision events in a knowledge-explicit way. It is supported by Sets of Experience Knowledge Structure in the effective process of transforming information into knowledge. The purpose of this paper is to show how the set of experience knowledge structure is implemented into the KSCS. Fully developed, KSCS certainly would improve the quality of decision-making and could advance the notion of administering knowledge in the current decision-making environment.
引用
收藏
页码:45 / 62
页数:18
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