KBS Development Through Ontology Mapping and Ontology Driven Acquisition

David Corsar, D. Sleeman

Research output: Contribution to conferenceUnpublished paperpeer-review

9 Citations (Scopus)


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 languageEnglish
Number of pages8
Publication statusPublished - 28 Oct 2007
EventK-CAP 2007 The Fourth International Conference on Knowledge Capture - Whistler, BC, Canada
Duration: 28 Oct 200731 Aug 2008


ConferenceK-CAP 2007 The Fourth International Conference on Knowledge Capture
CityWhistler, BC


  • reuse
  • KBS
  • problem solvers
  • ontology
  • mapping
  • knowledge acquisition


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