Task modeling with reusable problem-solving methods
Artificial Intelligence
A competence theory approach to problem solving method construction
International Journal of Human-Computer Studies
Knowledge engineering and management: the CommonKADS methodology
Knowledge engineering and management: the CommonKADS methodology
Structured Development of Problem Solving Methods
IEEE Transactions on Knowledge and Data Engineering
What Are Ontologies, and Why Do We Need Them?
IEEE Intelligent Systems
Autonomous robotic systems
Experiences in reusing knowledge sources using Protégé and PROMPT
International Journal of Human-Computer Studies - Protégé: community is everything
A Study of Applying Knowledge Modelling to Evidence-Based Guidelines
IWINAC '09 Proceedings of the 3rd International Work-Conference on The Interplay Between Natural and Artificial Computation: Part I: Methods and Models in Artificial and Natural Computation. A Homage to Professor Mira's Scientific Legacy
Integrated Thallassaemia decision support system
MAMECTIS'10 Proceedings of the 12th WSEAS international conference on Mathematical methods, computational techniques and intelligent systems
Integrated Thallassaemia decision support system
WSEAS Transactions on Computers
Aligning reference terminologies and knowledge bases in the health care domain
IWINAC'05 Proceedings of the First international conference on Mechanisms, Symbols, and Models Underlying Cognition: interplay between natural and artificial computation - Volume Part I
Extended ontological model for distance learning purpose
PAKM'06 Proceedings of the 6th international conference on Practical Aspects of Knowledge Management
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This article shows how we developed a diagnosis-aid system by reusing and adapting generic knowledge components for diagnosis of eye emergencies. Constructing knowledge systems is viewed as modeling activity for developing structured knowledge and reasoning models. To ensure well-formed models, the use of some knowledge engineering methodology is crucial. Additionally, reusing models can significantly reduce the time and costs of building a new application. Reusing knowledge components across different applications and domains can help acquire expert knowledge and accurately describe the reasoning process. In fact, current knowledge engineering research has taken major initiatives in the development of knowledge systems by reusing generic components, such as ontologies or problem-solving methods.