Abstract
The benefits of reuse have long been recognized in the knowledge engineering community where the dream of creating knowledge based systems (KBSs) on-the-fly from libraries of reusable components is still to be fully realised. In this paper we present a two stage methodology for creating KBSs: first reusing domain knowledge by mapping it, where appropriate, to the requirements of a generic problem solver; and secondly using this mapped knowledge and the requirements of the problem solver to ``drive'' the acquisition of the additional knowledge it needs. For example, suppose we have available a KBS which is composed of a propose-and-revise problem solver linked with an appropriate knowledge base/ontology from the elevator domain. Then to create a diagnostic KBS in the same domain, we require to map relevant information from the elevator knowledge base/ontology, such as component information, to a diagnostic problem solver, and then to extend it with diagnostic information such as malfunctions, symptoms and repairs for each component. We have developed MAKTab, a Protégé plug-in which supports both these steps and results in a composite KBS which is executable.
Original language | English |
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Pages | 23-30 |
Number of pages | 8 |
DOIs | |
Publication status | Published - 28 Oct 2007 |
Event | K-CAP 2007 The Fourth International Conference on Knowledge Capture - Whistler, BC, Canada Duration: 28 Oct 2007 → 31 Aug 2008 |
Conference
Conference | K-CAP 2007 The Fourth International Conference on Knowledge Capture |
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Country/Territory | Canada |
City | Whistler, BC |
Period | 28/10/07 → 31/08/08 |
Keywords
- reuse
- KBS
- problem solvers
- ontology
- mapping
- knowledge acquisition