Zanni-Merk C.,ICube Laboratory BFO Team
IC3K 2015 - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management | Year: 2015
This article presents a generic knowledge-based framework for problem solving in Engineering, in a broad sense. After a discussion about the drawbacks of the traditional architecture used for deploying knowledgebased systems (KBS), the KREM (Knowledge, Rules, Experience, Meta-Knowledge) architecture is presented. The novelty of the proposal comes from the inclusion of experience capitalization and of meta-knowledge use into the previously discussed traditional architecture. KREM improves the efficiency of classic KBSs, as it permits to deal with incomplete expert knowledge models, by progressively completing them, learning with experience. Also, the use of meta-knowledge can steer their execution more efficiently. This framework has been successfully used in different projects. Here, the architecture of the KREM model is presented along with some implementation issues and three case studies are discussed. Copyright © 2015 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.