Widening the Knowledge-Acquisition Bottleneck: Automated Tools for Building and Extending Clinical Methods
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Citation: Mark A. Musen. (1989) Widening the Knowledge-Acquisition Bottleneck: Automated Tools for Building and Extending Clinical Methods. In KSL-89-09, 1989.
| Publication techreport ( Edit ) | |
| type | Technical Report |
| bibtype | techreport |
| Bibtex basics | |
| author | Mark A. Musen |
| title | Widening the Knowledge-Acquisition Bottleneck: Automated Tools for Building and Extending Clinical Methods |
| number | KSL-89-09 |
| institution | Knowledge Systems, AI Laboratory |
| year | 1989 |
| Bibtex more | |
| Access Paper | |
| abstract | Building a knowledge-based system is like developing a scientific theory. Although a medical knowledge base does not constitute a theory of some natural phenomenon, it does represent a theory of how expert physicians diagnose or treat particular clinical conditions. 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. There are thus two phases of knowledge-base construction: (1) model building and (2) model extension. Computer-based tools can assist with both phases of the knowledge-acquisition process. A recent tool known as PROTEGE individually addresses these two distinct activities, and thus facilitates the construction of medical advice systems when the same general model can be applied to a variety of application tasks. |
| KSL Technical Report ID: KSL-89-09 |
Facts about Widening the Knowledge-Acquisition Bottleneck: Automated Tools for Building and Extending Clinical MethodsRDF feed
| Abstract | Building a knowledge-based system is like … Building a knowledge-based system is like developing a scientific theory. Although a medical knowledge base does not constitute a theory of some natural phenomenon, it does represent a theory of how expert physicians diagnose or treat particular clinical conditions. 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. There are thus two phases of knowledge-base construction: (1) model building and (2) model extension. Computer-based tools can assist with both phases of the knowledge-acquisition process. A recent tool known as PROTEGE individually addresses these two distinct activities, and thus facilitates the construction of medical advice systems when the same general model can be applied to a variety of application tasks. applied to a variety of application tasks. |
| Author | Mark A. Musen + |
| Bibtype | techreport + |
| Has author | Mark A. Musen + |
| Has identifier | KSL-89-09 + |
| Has publishing details | 1989 + |
| Has title | Widening the Knowledge-Acquisition Bottleneck: Automated Tools for Building and Extending Clinical Methods + |
| Has where published | KSL-89-09 + |
| Has year | 1989 + |
| Institution | Knowledge Systems, AI Laboratory + |
| Ksl tr id | KSL-89-09 + |
| Number | KSL-89-09 + |
| Process note | YES + |
| Title | Widening the Knowledge-Acquisition Bottleneck: Automated Tools for Building and Extending Clinical Methods + |
| Year | 1989 + |
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