The state of knowledge-based systems
Communications of the ACM
Developing Knowledge-Based Systems with MIKE
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CommonKADS: A Comprehensive Methodology for KBS Development
IEEE Expert: Intelligent Systems and Their Applications
Better Knowledge Management through Knowledge Engineering
IEEE Intelligent Systems
Acquiring Knowledge and Numerical Data to Support CBR Retrieval
EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
Tuning Production Processes through a Case Based Reasoning Approach
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
Product Design as Product Revise: The Case of Chemical Compounds
AI*IA 01 Proceedings of the 7th Congress of the Italian Association for Artificial Intelligence on Advances in Artificial Intelligence
Knowledge Management for Distributed Agile Processes: Models, Techniques, and Infrastructure
WETICE '03 Proceedings of the Twelfth International Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
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This paper illustrates how Knowledge Management Systems(KMSs) can improve the capability of Communities ofPractice (CoPs) to be agile in their activities. As a casestudy, it will be presented the P-Truck Project, whose goalis the development of a KMS to support experts in the decisionmaking process about the different phases of the trucktyre production process. In particular, KEPT, (i.e. KnowledgeElicitation module of P-Truck) will be further describedas a very important tool to support a specific Communityof Practice involved in the truck tyre production process:compound designers. The development of KEPT hasprovided compound designers with a conceptual and computationalframework concerning their expertise. In particular,the maintenance and sharing of knowledge have beenfacilitated, with a significant improvement of compound designers'agility in accomplishing daily tasks and in the interactionwith other CoPs involved in the truck tyre productionprocess.