KREM: A Generic Knowledge-based Framework for Problem Solving in Engineering - Proposal and Case Studies
Cecilia Zanni-Merk
2015
Abstract
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 knowledge-based 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.
References
- Bazire, M. and Brézillon, P. (2005). Understanding context before using it. In Modeling and using context, pages 29-40. Springer.
- Blanchard, E. G., Mizoguchi, R., and Lajoie, S. P. (2010). Structuring the cultural domain with an upper on-
- Masai, P., Parrend, P., and Zanni-Merk, C. (2015). Towards a formal model of the lean enterprise. In Elsevier, editor, Procedia Computer Science (Proceedings of KES 2015), volume 60C, pages 226-235.
- McCarthy, J. (1993). Notes on formalizing context.
- Meyer, E. (2014). The Culture Map: Breaking Through the Invisible Boundaries of Global Business. PublicAffairs.
- Milton, N. (2008). Knowledge Technologies. Polimetrica, Milano, Italy.
- Norris, J. R. (1998). Markov Chains. Cambridge University Press.
- Ouertani, M.-Z., Baïna, S., Yesilbas, L. G., and Morel, G. (2011). Traceability and management of dispersed product knowledge during design and manufacturing. Computer-Aided Design, 43(5):546-562.
- Porzel, R. (2010). Contextual computing: models and applications. Springer Science & Business Media.
- Renaud, D., Zanni-Merk, C., Bouche, P., Gartiser, N., and Rousselot, F. (2010). A strategy for reasoning with close knowledge bases. Business Informatics - Data Mining and Business Intelligence, 16(104):25-33.
- Renaud, D., Zanni-Merk, C., and Rousselot, F. (2009). A compound strategy for ontologies combining. In KEOD, pages 200-205.
- Sanín, C. and Szczerbicki, E. (2009). Experience-based knowledge representation: Soeks. Cybernetics and Systems, 40(2):99-122.
- Sanín, C., Szczerbicki, E., and Toro, C. (2007). An owl ontology of set of experience knowledge structure. J. UCS, 13(2):209-223.
- Sowa, J. F. (1995). Syntax, semantics, and pragmatics of contexts. In Conceptual Structures: Applications, Implementation and Theory, pages 1-15. Springer.
- Sowa, J. F. (2000). Knowledge Representation: Logical, Philosophical and Computational Foundations. Brooks/Cole Publishing Co., Pacific Grove, CA, USA.
- Toro, C., Sanchez, E., Carrasco, E., Mancilla-Amaya, L., Sanín, C., Szczerbicki, E., Gra n˜a, M., Bonachela, P., Parra, C., Bueno, G., et al. (2012). Using set of experience knowledge structure to extend a rule set of clinical decision support system for alzheimer's disease diagnosis. Cybernetics and Systems, 43(2):81-95.
- Womack, J. P., Jones, D. T., and Roos, D. (1991). The Machine That Changed the World: The Story of Lean Production. The MIT international motor vehicle program. HarperCollins.
- Zanni-Merk, C., Almiron, S., and Renaud, D. (2011). A multi-agents system for analysis and diagnosis of smes. In KES-AMSTA, pages 103-112.
- Zanni-Merk, C., Marc-Zwecker, S., Wemmert, C., and de Beuvron, F. d. B. (2015). A layered architecture for a fuzzy semantic approach for satellite image analysis. International Journal of Knowledge and Systems Science (IJKSS), 6(2):31-56.
Paper Citation
in Harvard Style
Zanni-Merk C. (2015). KREM: A Generic Knowledge-based Framework for Problem Solving in Engineering - Proposal and Case Studies . In Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, (IC3K 2015) ISBN 978-989-758-158-8, pages 381-388. DOI: 10.5220/0005635103810388
in Bibtex Style
@conference{keod15,
author={Cecilia Zanni-Merk},
title={KREM: A Generic Knowledge-based Framework for Problem Solving in Engineering - Proposal and Case Studies},
booktitle={Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, (IC3K 2015)},
year={2015},
pages={381-388},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005635103810388},
isbn={978-989-758-158-8},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, (IC3K 2015)
TI - KREM: A Generic Knowledge-based Framework for Problem Solving in Engineering - Proposal and Case Studies
SN - 978-989-758-158-8
AU - Zanni-Merk C.
PY - 2015
SP - 381
EP - 388
DO - 10.5220/0005635103810388