Name
Abstract | ||
|---|---|---|
Knowledge intensive engineering aims at flexible applications of a variety of product life cycle knowledge, such 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 building and analyzing various engineering models. We demonstrate the power of KIEF by illustrating a design case performed on KIEF. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1016/j.aei.2004.09.004 | Advanced Engineering Informatics |
Keywords | Field | DocType |
engineering knowledge,functional hierarchy,engineering activity,physical concept ontology,design object modeling,knowledge intensive engineering framework,engineering model,engineering domain theory,multiple engineering model,theory integration,ontology,knowledge intensive engineering,pluggable metamodel mechanism,physical world,model integration,physical concept,network model,conceptual design,product life cycle,domain theory,object model | Conceptual design,Data mining,Ontology,Systems engineering,Engineering,Reasoning system,Hierarchy,Functional specification,Metamodeling,Network model,Software mining | Journal |
Volume | Issue | ISSN |
18 | 2 | Advanced Engineering Informatics |
Citations | PageRank | References |
35 | 1.79 | 10 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Masaharu Yoshioka | 1 | 368 | 41.40 |
| Yasushi Umeda | 2 | 242 | 27.05 |
| Hideaki Takeda | 3 | 422 | 60.80 |
| Yoshiki Shimomura | 4 | 246 | 32.27 |
| Yutaka Nomaguchi | 5 | 49 | 5.94 |
| Tetsuo Tomiyama | 6 | 440 | 48.79 |