Knowledge engineering: principles and methods
Data & Knowledge Engineering - Special jubilee issue: DKE 25
Intelligent systems for engineers and scientists (2nd ed.)
Intelligent systems for engineers and scientists (2nd ed.)
Knowledge Management Foundations
Knowledge Management Foundations
The Essence of Artificial Intelligence
The Essence of Artificial Intelligence
Knowledge Management Foundations: Thinking about Thinking - how People and Organizations Represent, Create, and Use Knowledge
Managing Knowledge Work
Product Configuration Frameworks-A Survey
IEEE Intelligent Systems
Acquiring Configuration Knowledge Bases in the Semantic Web Using UML
EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
Towards a general ontology of configuration
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Improving the quotation process with product configuration
Computers in Industry
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In many cases, the use of product configurators provides a number of benefits for engineering-oriented companies, such as shorter lead times, the use of fewer man hours, and improved product quality. However, not all of these projects are successful. The task of defining what should be implemented into the configurator is much more complex than anticipated in many configurator projects. In the worst-case scenario, this implies that the configurator is never fully developed or it fails to support the users in a satisfactory manner. The difficulties in creating adequate specifications of what to implement in the knowledge base of a configurator have been explained in much of the configuration literature by the assumption that much of the relevant knowledge of the product experts is tacit. However, this paper shows that this kind of explanation can be misleading and may even be incorrect. This is accomplished by discussing the problems inherent in such explanations and through interviews with configuration project knowledge engineers. Therefore, according to this basis, this paper provides general recommendations concerning the use of the term tacit knowledge and outlines issues related to the acquisition of product knowledge in configuration projects.