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A Semantic Information Model for Capturing and Communicating Design Decisions
Author(s) -
Justin A. Rockwell,
Ian R. Grosse,
Sundar Krishnamurty,
Jack C. Wileden
Publication year - 2010
Publication title -
journal of computing and information science in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.538
H-Index - 50
eISSN - 1944-7078
pISSN - 1530-9827
DOI - 10.1115/1.3462926
Subject(s) - computer science , reuse , modular design , documentation , engineering design process , design knowledge , software engineering , key (lock) , design rationale , process (computing) , human–computer interaction , knowledge management , systems engineering , engineering , programming language , mechanical engineering , bottleneck , computer security , embedded system , waste management
A semantic information model to improve reuse and communication of engineering design knowledge is presented in this paper. We consider design to be a process involving a sequence of decisions informed by the current state of information. As such, the information model developed is structured to reflect the conceptualizations of engineering design decisions with a particular emphasis on semantically capturing design rationale. Through the approach presented, knowledge reuse is achieved by communicating design rationale. A case study is presented to illustrate two key features of the approach: (1) seamless integration of separate modular domain ontologies and instance knowledge related to engineering design that are needed to support decision making and (2) the explicit documentation of design rationale through design decisions.

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