E-Tendering: Modeling of a multi-agents system integrating the concepts of ontology and big data
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Dec 31, 2015
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Abstract
This work deals with the modeling of a computer system dedicated to e-procurement specifically e-tendering. For the establishment of this system, semantic web ontologies, multi-agent systems and big data were used. To have a modular system, pledge of reliability, of speed and potential scalability, multi-agents systems have been used. The agents of the system communicate and collaborate throughout the tendering process to perform tasks such as the generation of tender documents, bids evaluation, contract signature and monitoring of the realization of the contract. The knowledge engineering through the semantic web ontologies was used in order to have a complete semantic description of the shared information and foster good communication between the different agents of the system. Finally, to store and take advantage of structured and unstructured data generated by the different sources of data relating to the governance of public procurement, Big Data technologies were integrated.
The objective of this work is to establish an efficient computer system capable of solving all or part of the problems relating to the award of public contracts.
Keywords: e-procurement, e-tendering, software engineering, big data, multi-agents system, semantic web, ontology, artificial intelligence;
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References
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[28] JKim, J. W., Choi, S. Y., Kim, J., & KIM, J. J. Study On A Way To Estimate Reasonable Cost Of Construction Works-Focused On Formworks In Korea.
[2] Auriol, E. (2006). Corruption in procurement and public purchase.International Journal of Industrial Organization, 24(5), 867-885.
[3] Koning, P., & Van de Meerendonk, A. (2014). The impact of scoring weights on price and quality outcomes: An application to the procurement of Welfare-to-Work contracts. European Economic Review, 71, 1-14.
[4] Hanine, M.A. (2008). "La procédure de passation des marchés publics au Maroc: étude analytique et réflexions à la lumière du code français des marchés publics (et des directives européennes) et des directives de la banque mondiale", Mémoire de master, Strasbourg.France : Ecole nationale d’administration, 2008.
[5] Woods, G.G. (2008). Financial Management and cost accounting, Cape Town: University of Stellenbosch, 2008.
[6] Krasniqi, S. (2012). Public procurement procedures and its cycles, Int. J. Res. Rev. Appl. Sci., 10(1).
[7] Zadelhoff, L. (2014). The influence of a new public procurement directive on SME’s.
[8] Hessami, Z. (2014). Political corruption, public procurement, and budget composition: Theory and evidence from OECD countries, Eur. J. Polit. Econ., 34, 372-389.
[9] Oyediran, O. S., & Akintola, A. A. (2011). A survey of the state of the art of e-tendering in nigeria. Journal of Information Technology in Construction, 16, 557-576.
[10] Neupane, A., Soar, J., Vaidya, K., & Yong, J. (2012, August). Role of public e-procurement technology to reduce corruption in government procurement. InProceedings of the 5th International Public Procurement Conference (IPPC5)(pp. 304-334). Public Procurement Research Center.
[11] Berners-Lee, T. (1998). "Weaving the Web," Harper Eds, San Francisco, 226.
[12] Berners-Lee, T., Hendler, J., & Lassila, O. (2001). The semantic web.Scientific american, 284(5), 28-37.
[13] Gruber, T. R. (1995). Toward principles for the design of ontologies used for knowledge sharing?," Int. J. Hum.-Comput. Stud., 43(5), 907–928.
[14] Studer, R., Benjamins, V. R., & Fensel, D. (1998). Knowledge engineering: principles and methods. Data & knowledge engineering, 25(1), 161-197.
[15] Pulido, J. R. G., Ruiz, M. A. G., Herrera, R., Cabello, E., Legrand, S., & Elliman, D. (2006). Ontology languages for the semantic web: A never completely updated review. Knowledge-Based Systems, 19(7), 489-497.
[16] Bernon, C., Gleizes, M. P., & Picard, G. (2009). Méthodes orientées agent et multi-agent. Technologies des systèmes multi-agents et applications industrielles, chapter-2.
[17] Muñoz, J. F., Esteban, G., Corcho, O., & Serón, F. PPROC, an ontology for transparency in public procurement. Semantic Web, (Preprint), 1-15.
[18] Michael Wooldridge, Nicholas R. Jennings, & David Kinny, (1999). A methodology for agent-oriented analysis and design.
[19] Chaib-draa, B. (1996). A hierarchical model of agent based on skill, rules, and knowledge. In Advances in Artifical Intelligence (pp. 200-212). Springer Berlin Heidelberg.
[20] Bellifemine, F. L., Caire, G., & Greenwood, D. (2007). Developing multi-agent systems with JADE (Vol. 7). John Wiley & Sons.
[21] Fagin, R., Moses, Y., Halpern, J. Y., & Vardi, M. Y. (2003). Reasoning about knowledge. MIT press.
[22] Gandon, F., Corby, O., & Faron-Zucker, C. (2012). Le Web sémantique: comment lier les données et les schémas sur le web?. Dunod.
[23] IDC, "World’s data will grow by 50X in next decade, IDC study predicts," URL: http://www.computerworld.com/s/article/ 9217988/World_s_data_will_grow_by_50X_in_next_decade _ IDC_study_predicts, 2013.
[24] Stonekerbra, M. (2013). What Does ’Big Data’ Mean?, URL: http: //cacm.acm.org/blogs/blog-cacm/155468-what-does-big-data-mean/fulltext
[25] Yang, M., Kiang, M., & Shang, W. (2015). Filtering big data from social media–Building an early warning system for adverse drug reactions. Journal of biomedical informatics, 54, 230-240.
[26] Huang, T., Lan, L., Fang, X., An, P., Min, J., & Wang, F. (2015). Promises and Challenges of Big Data Computing in Health Sciences. Big Data Research,2(1), 2-11.
[27] Ishii, N., Takano, Y., & Muraki, M. (2014). An order acceptance strategy under limited engineering man-hours for cost estimation in Engineering–Procurement–Construction projects," Int. J. Proj. Manag., 32(3), 519-528.
[28] JKim, J. W., Choi, S. Y., Kim, J., & KIM, J. J. Study On A Way To Estimate Reasonable Cost Of Construction Works-Focused On Formworks In Korea.