gIBIS: a hypertext tool for exploratory policy discussion
CSCW '88 Proceedings of the 1988 ACM conference on Computer-supported cooperative work
SIBYL: A qualitative decision management system
Artificial intelligence at MIT expanding frontiers
Dynamic programming algorithm optimization for spoken word recognition
Readings in speech recognition
Automated capture of rationale for the detailed design process
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Knowledge Management Handbook
Design Rationale: Concepts, Techniques, and Use
Design Rationale: Concepts, Techniques, and Use
Issues and Applications of Case Based Reasoning to Design
Issues and Applications of Case Based Reasoning to Design
Working Knowledge: How Organizations Manage What They Know
Working Knowledge: How Organizations Manage What They Know
Dynamic Programming
An information value based approach to design procedure capture
Advanced Engineering Informatics
Advanced Engineering Informatics
Hi-index | 0.00 |
Knowledge management has recently become the focus of public attention in business and engineering. Because knowledge acquisition is situated in the upstream of knowledge management, capturing knowledge is an important step for enterprises to achieve successful knowledge management. We focus on how engineers solve their design problems under given design contexts and propose a novel model and methods to capture knowledge from engineering design processes. Our goal is to acquire know-how knowledge without disrupting the normal design process. A three-layer design process model is introduced to represent generic design processes, and a grammar and extended dynamic programming (GEDP) method is developed based on the process model. GEDP adopts the grammar approach and EDP to automatically identify meaningful clusters, called operations, from primitive design events. Our approach is evaluated through a case study of designing a double-reduction gear system.