Artificial Intelligence
A philosophical basis for knowledge acquisition
Knowledge Acquisition
Using explicit ontologies in KBS development
International Journal of Human-Computer Studies
Evaluating knowledge engineering techniques
International Journal of Human-Computer Studies
International Journal of Human-Computer Studies
Creating Semantic Web Contents with Protégé-2000
IEEE Intelligent Systems
Why Evaluate Ontology Technologies? Because It Works!
IEEE Intelligent Systems
A simulation framework for knowledge acquisition evaluation
ACSC '05 Proceedings of the Twenty-eighth Australasian conference on Computer Science - Volume 38
Hi-index | 0.00 |
Evaluation of knowledge acquisition (KA) is difficult in general because of the costs of using a human expert. In this paper, we use a general simulation framework to evaluate some aspects of KA. We focus on the importance of acquiring domain ontological structures and the use of stored or cornerstone cases to validate changes. We find that the for a higher level of expertise, an ontology is very useful, but cornerstone cases less so, but the weaker the level of expertise, the more valuable the cornerstone cases and the less helpful an ontology.