Expert systems for configuration at Digital: XCON and beyond
Communications of the ACM
Tools and techniques for conceptual design
Artificial intelligence in engineering design (Volume I)
CoLan: a functional constraint language and its implementation
Data & Knowledge Engineering
Toward principles for the design of ontologies used for knowledge sharing
International Journal of Human-Computer Studies - Special issue: the role of formal ontology in the information technology
Evaluating opportunities for design capture
Design rationale
Usability Testing and Research
Usability Testing and Research
Handbook of Usability Testing: How to Plan, Design, and Conduct Effective Tests
Handbook of Usability Testing: How to Plan, Design, and Conduct Effective Tests
A Practical Guide to Usability Testing
A Practical Guide to Usability Testing
Configuration-Design Problem Solving
IEEE Expert: Intelligent Systems and Their Applications
Consistency-based diagnosis of configuration knowledge bases
Artificial Intelligence
Acquisition and maintenance of constraints in engineering design
Proceedings of the 3rd international conference on Knowledge capture
Expert Systems with Applications: An International Journal
Capturing quantified constraints in FOL, through interaction with a relationship graph
EKAW'06 Proceedings of the 15th international conference on Managing Knowledge in a World of Networks
A semantic representation model for design rationale of products
Advanced Engineering Informatics
Technical note: A part affordance-based approach for capturing detailed design knowledge
Computer-Aided Design
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The Designers' Workbench is a system developed by the Advanced Knowledge Technologies Consortium to support designers in large organizations, such as Rolls-Royce, to ensure that the design is consistent with the specification for the particular design as well as with the company's design rule book(s). In the principal application discussed here, the evolving design is described using a jet engine ontology. Design rules are expressed as constraints over the domain ontology. Currently, to capture the constraint information, a domain expert (design engineer) has to work with a knowledge engineer to identify the constraints, and it is then the task of the knowledge engineer to encode these into the Workbench's knowledge base. This is an error-prone and time-consuming task. It is highly desirable to relieve the knowledge engineer of this task, so we have developed a system, ConEditor+, that enables domain experts themselves to capture and maintain these constraints. Further, we hypothesize that to appropriately apply, maintain, and reuse constraints, it is necessary to understand the underlying assumptions and context in which each constraint is applicable. We refer to them as “application conditions,” and these form a part of the rationale associated with the constraint. We propose a methodology to capture the application conditions associated with a constraint and demonstrate that an explicit representation (machine interpretable format) of application conditions (rationales) together with the corresponding constraints and the domain ontology can be used by a machine to support maintenance of constraints. Support for the maintenance of constraints includes detecting inconsistencies, subsumption, redundancy, fusion between constraints, and suggesting appropriate refinements. The proposed methodology provides immediate benefits to the designers, and hence, should encourage them to input the application conditions (rationales).