Artificial Intelligence
SALT: a knowledge acquisition language for propose-and-revise systems
Artificial Intelligence
Using explicit ontologies in KBS development
International Journal of Human-Computer Studies
Software Engineering
A domain-independent production-rule system for consultation programs
IJCAI'79 Proceedings of the 6th international joint conference on Artificial intelligence - Volume 2
User-Driven Ontology Evolution Management
EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
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Enabling a domain expert to maintain his own knowledge in a Knowledge Based System has long been an ideal for the Knowledge Engineering community. In this paper we report on our experience with trying to achieve this ideal in a practical setting, by building a maintenance tool for an existing KBS. After a brief survey of various approaches to this problem described in literature, we select a domain- and task-specific modelling approach as the most promising and appropriate. First, we construct a domain ontology and a task model for the KBS system to be maintained, as well as a task analysis of the maintenance tool itself. The maintenance tool is subsequently implemented using a two layer architecture which seperates domain and system concepts. Although no full-scale evaluation has been undertaken, we report on our initial experience with this approach and present our conclusions.