Anomalies such as redundant, contradictory, and deficient knowledge in a knowledge base are symptoms of probable errors. Detecting anomalies is a well-established method for verifying knowledge-based systems. Although many tools have been developed to perform anomaly detection, several important iss
โฆ LIBER โฆ
Application areas and added value of knowledge base systems
โ Scribed by R.V. Schuwer; R.J. Kusters
- Publisher
- Elsevier Science
- Year
- 1993
- Tongue
- English
- Weight
- 906 KB
- Volume
- 24
- Category
- Article
- ISSN
- 0378-7206
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โฆ Synopsis
A knowledge base system is characterized by a separation between application-dependent knowledge and applicationindependent deduction rules. When used in a business environment, it is not clear what added value this separation has, over conventional systems. It also is not clear what characteristics make a problem tractable for a solution using a knowledge base system. This paper tries to formulate answers to these questions. In order to obtain a sound basis for discussion, a formal model of a knowledge base system is presented.
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