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KROL: A Knowledge Representation Object Language on Top of Prolog Expert Systems with Applications
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Abstract: This paper presents a Knowledge Representation Object Language (KROL) on top of Prolog. KROL aimed at providing the ability to develop second-generation expert systems. The main aspects of KROL include multi-paradigm knowledge representation (first-order predicate logic, objects, rules), inference mechanisms at different levels of granularity, explanation facility, object-oriented database management module, and user-friendly interface. KROL has sufficient expressive power to be used in applying demanding knowledge-based modeling methodologies, such as KADS and Generic Task, which are the major landmarks of the second-generation expert systems technology. Four successful agricultural expert systems were developed in the last six years using KROL. To demonstrate the language capabilities, we present an example of disorder diagnosis.
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| Publication year |
1998
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| serial title |
An International Journal Vol 15 pp 33-46 Elsevier Science Ltd
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| Department |
Knowledge Engineering and Expert System Building Tools
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| Author(s) from ARC |
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| Agris Categories |
Documentation and information
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| Publication Type |
Journal
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