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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.
Knowledge intensive engineering aims at flexible applications of a variety of product life cycle knowledge, such as design, manufacturing, operations, maintenance, and recycling.
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This application is an example of using modern computational methods in support of knowledge-intensive engineering.
Academics and practitioners have a common interest in the continuing development of methods and computer applications that support or perform knowledge-intensive engineering tasks.
Engineering design is a knowledge intensive process.
Given the knowledge intensive nature of HAZOP analysis, a knowledge engineering framework was developed.
The use of model falsification for system identification allows for explicit inclusion of engineering heuristics in this knowledge intensive task while also offering robustness to effects of systematic modeling errors that are associated with idealization of complex civil structures.
The Architecture, Engineering and Construction (AEC) industry is becoming increasingly knowledge intensive.
The development and implementation of enterprise systems is a knowledge intensive procedure, being related to enterprise processes and involving information, system and software engineering technologies.
However, recent strong jobs growth has been driven by knowledge intensive business services.
EFunds' call centers are in a new suburban development called Mind Space that houses only "knowledge intensive" companies.
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