Physical concept ontology for the knowledge intensive engineering framework

被引:88
作者
Yoshioka, M
Umeda, Y
Takeda, H
Shimomura, Y
Nomaguchi, Y
Tomiyama, T
机构
[1] Hokkaido Univ, Kita Ku, Sapporo, Hokkaido 0600814, Japan
[2] Tokyo Metropolitan Univ, Tokyo 1920397, Japan
[3] Natl Inst Informat, Tokyo 1018430, Japan
[4] Univ Tokyo, Tokyo 1138654, Japan
[5] Osaka Univ, Osaka 5650871, Japan
[6] Delft Univ Technol, NL-2600 AA Delft, Netherlands
关键词
ontology; engineering knowledge; theory integration; model integration; design object modeling;
D O I
10.1016/j.aei.2004.09.004
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Knowledge intensive engineering aims at flexible applications of a variety of product life cycle knowledge. much as design, manufacturing. operations, maintenance, and recycling. Many engineering domain theories are organized and embedded within CAD and CAE tools and engineering activities can be formalized as modeling operations to them. Since most of domain theories deal with the physical world and can be associated with physical concepts. a physical concept ontology can form a common ontology to integrate engineering models that are formed based on domain theories. This paper reports a physical ontology-based support system for knowledge intensive engineering called Knowledge intensive Engineering Framework (KIEF) to integrate multiple engineering models and to allow more flexible use of them. First the paper describes the physical ontology as the core of KIEF and an ontology-based reasoning system called a pluggable metamodel mechanism, to integrate and maintain relationships among these models. The pluggable metamodel mechanism uses a metamodel that represents the designer's mental model about a design object as a concept network model. The designer builds and decomposes a functional hierarchy from functional specifications with an FBS (Function-Behavior-State) modeler. He/She then maps the functional hierarchy into a metamodel using physical features that are building blocks for conceptual design. Then, the pluggable metamodel mechanism enriches the information contained in the metamodel by using causal dependency knowledge about the physical world and by budding and analzing various engineering models. We demonstrate the power of KIEF by illustrating a design case performed on KIEF. (C) 2004 Published by Elsevier Ltd.
引用
收藏
页码:95 / 113
页数:19
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