Knowledge Engineering: Principles and methods

被引:1766
作者
Studer, R
Benjamins, VR
Fensel, D
机构
[1] Univ Karlsruhe, Inst AIFB, D-76128 Karlsruhe, Germany
[2] Spanish Council Sci Res, CSIC, Artificial Intelligence Res Inst, IIIA, Bellaterra 08193, Barcelona, Spain
[3] Univ Amsterdam, Dept Social Sci Informat, SWI, NL-1018 WB Amsterdam, Netherlands
关键词
Knowledge Engineering; knowledge acquisition; problem-solving method; ontology; Information Integration;
D O I
10.1016/S0169-023X(97)00056-6
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper gives an overview of the development of the field of Knowledge Engineering over the last 15 years. We discuss the paradigm shift from a transfer view to a modeling view and describe two approaches which considerably shaped research in Knowledge Engineering: Role-limiting Methods and Generic Tasks. To illustrate various concepts and methods which evolved in recent years we describe three modeling frameworks: CommonKADS, MIKE and PROTEGE-II. This description is supplemented by discussing some important methodological developments in more detail: specification languages for knowledge-based systems, problem-solving methods and ontologies. We conclude by outlining the relationship of Knowledge Engineering to Software Engineering, Information Integration and Knowledge Management.
引用
收藏
页码:161 / 197
页数:37
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