Proceedings of the Annual Meeting of the Cognitive Science Society

Knowledge Acquisition is a crucial and time-consuming phase in the development of Knowledge Based Systems. The AC-Knowledge project aims to improve the efficiency of the knowledge acquisition process. The approach is to analyze and evaluate a variety of existing knowledge acquisition techniques, including machine learning methods. Taking into account their complementarities, we integrate these techniques into a Knowledge Engineering Workbench that supports the Knowledge Engineer in his various tasks. This approach is tested on real life applications, simple ones (e.g. analysis in metal fractures) and more complex ones(e.g. failures in the Spanish data communications network).