KADS: a modelling approach to knowledge engineering
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Summary
Five basic principles underlying the KADS approach are discussed, namely the introduction of partial models as a means to cope with the complexity of the knowledge engineering process and the importance of structure—preserving transformation of models of expertise into design and implementation.
- Type
- article
- Published
- 1992-03-01
- Cited by
- 817
- References
- 56
- OpenAlex
- https://openalex.org/W2086200448
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:7107499
Keywords
Computer science, Troubleshooting, Domain (mathematical analysis), Process (computing), Domain knowledge
References
- Competence Assessment in Configuration Tasks
- A Survey of the Expert System Tool ZDEST-2
- The Expertise of Novice Problem Solvers
- StatCons: Knowledge Acquisition in a Complex Domain
- Integrating Qualitative Reasoning Approaches
- A Case Study in Structured Knowledge Acquisition
- Models of Expertise
- Acquiring, representing, and evaluating a competence model of diagnostic strategy
- Knowledge Based Knowledge Acquisition: The Next Generation of Support Tools
- Knowledge Elicitation: Principles, Techniques and Applications
- ONCOCIN: An Expert System for Oncology Protocol Management
- NEOMYCIN: Reconfiguring a Rule-Based Expert System for Application to Teaching
- Automated generation of model-based knowledge acquisition tools
- Building expert systems
- A Conceptual Modelling Framework for Knowledge-level Reflection
- The Paint Advisor
- A Blackboard Architecture for Control
- SALT: A Knowledge Acquisition Language for Propose-and-Revise Systems
- The Acquisition of Strategic Knowledge
- Knowledge acquisition for an integrated project management system
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- DICE: A Discovery Environment Integrating Inductive Bias
- Knowledge Acquisition and Case-Based Reasoning for a Case-Based Incident Diagnosis and Solving System
- A knowledge-based system for auditor's reports
- An Ontology-based Multi-agent Architecture for Distributed Health-care Information Systems
- Knowledge acquisition or manifestation of the thought?
- Structured Expanations as a Support to Model Problem-Solving in a Task-Method Paradigm
- Structural representations of unstructured knowledge
- Can Description Logics Be Used in Real-Life Knowledge-Based Systems?
- The Model of Expertise in KARL
- Terminological Importation for Adapting Reusable Knowledge Representation Components in the KSM Environment
- Reputation in User Profiling for a Context-aware MultiAgent System
- Knowledge-Acquisition Tools for Medical Knowledge-Based Systems
- Ontological Modelling for Designing Educational Systems
- Knowledge Management Using MODEL-ECS
- Conceptual Structures for Knowledge Engineering and Knowledge Modelling
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