Learning Why by Being Told What: Interactive Acquisition of Justifications
IEEE Expert: Intelligent Systems and Their Applications
Interview-Based Knowledge Acquisition Using Dynamic Analysis
IEEE Expert: Intelligent Systems and Their Applications
Using the System-Model-Operator Metaphor for Knowledge Acquisition
IEEE Expert: Intelligent Systems and Their Applications
Easy Programming: Empowering People to Build Their Own Applications
IEEE Expert: Intelligent Systems and Their Applications
Overcoming Process Delays with Decision Tree Induction
IEEE Expert: Intelligent Systems and Their Applications
The evolution of Protégé: an environment for knowledge-based systems development
International Journal of Human-Computer Studies
KNOWLEDGE-BASED VALIDATION FOR HYDROLOGICAL INFORMATION SYSTEMS
Applied Artificial Intelligence
Expert Systems with Applications: An International Journal
Journal of Artificial Intelligence Research
An educational component based framework for web ITS development
ICWE'03 Proceedings of the 2003 international conference on Web engineering
Developing software is like talking to Eskimos about snow
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 2
Explicit representations of problem-solving strategies to support knowledge acquisition
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
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Building a knowledge-based system is like developing a scientific theory. Although a knowledge base does not constitute a theory of some natural phenomenon, it does represent a theory of how a class of professionals approaches an application task. As when scientists develop a natural theory, builders of expert systems first must formulate a model of the behavior that they wish to understand and then must corroborate and extend that model with the aid of specific examples. Thus there are two interrelated phases of knowledge-base construction: (1) model building and (2) model extension. Computer-based tools can assist developers with both phases of the knowledge-acquisition process. Workers in the area of knowledge acquisition have developed computer-based tools that emphasize either the building of new models or the extension of existing models. The PROTÉGÉ knowledge-acquisition system addresses these two activities individually and facilitates the construction of expert systems when the same general model can be applied to a variety of application tasks.