Abstract
This paper presents an approach based on ontology and agents. The major objective is to automatically manage the consistency of business rules introduced by the experts during the capitalization of business rules process as part of a collaborative system dedicated to experts. The Evaluator agent is at the heart of our functional architecture, its role is to detect the problems that may arise in the consistency management module and provide a solution to these problems in order to validate the accuracy of business rules. It uses the knowledge represented in the domain ontology. We exploit the possibilities of TERMINAE method to represent the company’s business model and manage the consistency of the rules that are introduced by business experts. The suggested approach treats here the cases of contradiction, redundancy, invalid rules, the domain violation and the rules never applicable. We conducted some experiments to test the feasibility of our approach.
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Notes
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Simple Knowledge Organization System.
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WebSphere Operational Decision Management.
References
Business rules. In: Business Intelligence, chap. 11. http://dx.doi.org/10.1016/B978-0-12-385889-4.00011-9
Legendre, V., Petitjean, G., Lepatre, T.: Gestion des règles «métier». Softw. Eng. (92), 43–52 (2010)
Chniti, A., Albert, P., Charlet, J.: Gestion de la cohérence des règles métier éditées à partir d’ontologies OWL, 22èmes Journées francophones d'Ingénierie des Connaissances (IC 2011), Chambéry, France
Matthew Nelson, L., Peterson, J., Robert Rariden, L., Sen, R.: Transitioning to a business rule management service model: case studies from the property and casualty insurance industry. Inf. Manage. (2009). www.elsevier.com/locate/im, doi:10.1016/j.im.2009.09.007
Guissé, A., Lévy, F., Nazarenko, A.: From regulatory texts to BRMS: how to guide the acquisition of business rules? In: Bikakis, A., Giurca, A. (eds.) RuleML 2012. LNCS, vol. 7438, pp. 77–91. Springer, Heidelberg (2012)
Ram, S., Liu, J.: An agent-based approach for sourcing business rules in supply chain management. Int. J. Intell. Inf. Technol. 1(1), 1–6 (2005)
Guissé, A., Lévy, F., Omrane, N., Nazarenko, A., Szulman, S.: Une architecture pour la construction de modèles de règles métiers documentés. In: IC 2012 (2012)
Omrane, N., Nazarenko, A., Rosina, P., Szulman, S., Westphal, C.: Lexicalized ontology for the management of business rules an industrial experiment. Published in Workshop “Ontology and Lexicon” of the 9th International Conference on Terminology and Artificial Intelligence, Paris, France (2011)
Chniti, A., Albert, P., Charlet, J.: A loose coupling approach for combining owl ontologies and business rules. In: RuleML2012@ECAI Challenge, at the 6th International Symposium on Rules Research Based and Industry Focused 2012. CEUR Workshop Proceedings, vol. 874, pp. 103–110 (2012a)
Duda, J., Stawowy, A.: A possibility of business rules application in production planning. Arch. Foundry Eng. 10(2), 27–32 (2010). ISSN: 1897-3310
Sad Houari, N., Taghezout, N.: Towards a new agent based approach for modeling the business rules processes in small and medium enterprise in Algeria. In: 2nd International Conference on Networking and Advanced Systems (ICNAS 2015), Annaba, Algeria, 6–7 May 2015 (2015). ISBN: 978-9931-9142-0-4
Sad Houari, N., Taghezout, N.: A combined use between rules, ontology and agents in BRMS design: application to SME in Algeria. In: International Conference on Artificial Intelligence, Energy and Manufacturing Engineering (ICAEME 2015), Dubai, 7–8 January 2015 (2015). ISBN: 978-93-84422-05-9
Cryptography definition, consulted by 24/02/2015 at 14:15. http://searchsoftwarequality.techtarget.com/definition/cryptography
Sad Houari, N., Taghezout, N.: An agent based approach for security integration in business rules management system. In: International Conference on Intelligent Information Processing, Security and Advanced Communication (IPAC 2015), Batna, Algeria, 23–25 November 2015 (2015). ISBN: 978-1-4503-3458-7
Bajec, M., Krisper, M.: A methodology and tool support for managing business rules in organisations. Inf. Syst. 30, 423–443 (2005)
Chniti, A., Albert, P., Charlet, J.: Gestion des dépendances et des interactions entre ontologies et règles métier. Ph.D. thesis, Pierre et Marie Curie University - Paris VI (2013)
Terminae method definition, consulted by 24/06/2015 at 16:03. http://ontorule-project.eu/news/news/terminae.html
Su, C.J., Peng, C.W.: Multi-agent ontology based web 2.0 platform for medical rehabilitation. Department of Industrial Engineering and Management, Yuan Ze University, 135, Far East Rd, Chung Li, Taiwan, ROC (2011)
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Houari, N.S., Taghezout, N. (2016). A Novel Collaborative Approach for Business Rules Consistency Management. In: Liu, S., Delibašić, B., Oderanti, F. (eds) Decision Support Systems VI - Addressing Sustainability and Societal Challenges. ICDSST 2016. Lecture Notes in Business Information Processing, vol 250. Springer, Cham. https://doi.org/10.1007/978-3-319-32877-5_12
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