U. M. Fayyad, G. Piatetsky-shapiro, and P. Smyth, The KDD process for extracting useful knowledge from volumes of data, Communications of the ACM, vol.39, issue.11, pp.27-34, 1996.
DOI : 10.1145/240455.240464

C. Shearer, The CRISP-DM model: the new blueprint for data mining, Journal of Data Warehousing, vol.5, issue.4, pp.13-19, 2000.

L. A. Kurgan and P. Musilek, A survey of Knowledge Discovery and Data Mining process models, The Knowledge Engineering Review, vol.21, issue.01, pp.1-24, 2006.
DOI : 10.1017/S0269888906000737

H. Behja, B. Trousse, and A. Marzak, Prise en compte des points de vue pour l'annotation d'un processus d'Extraction de Connaissances à partir de Données, Revue des Nouvelles Technologies de l'Information (RNTI-E-3), pp.245-256, 2005.

H. Behja, Plateforme objet d'??valuation orient??e point de vue d'un syst??me d'information, Faculty of Science Ben M'sik, 2009.
DOI : 10.3166/isi.10.6.107-134

E. Zemmouri, H. Behja, A. Marzak, and B. Trousse, Ontology-Based Knowledge Model for Multi-View KDD Process, International Journal of Mobile Computing and Multimedia Communications, vol.4, issue.3, pp.21-33, 2012.
DOI : 10.4018/jmcmc.2012070102
URL : https://hal.archives-ouvertes.fr/hal-00769786

A. Schreiber, J. M. Akkermans, A. Anjewierden, R. Hoog, N. Shadbolt et al., Knowledge Engineering and Management: The CommonKADS methodology, 2000.

E. Zemmouri, H. Behja, and A. Marzak, OntoECD : une ontologie pour le processus d'ECD, proceedings of the WOTIC Workshop, pp.24-25, 2009.

A. Bernstein, F. Provost, and S. Hill, Toward intelligent assistance for a data mining process: an ontology-based approach for cost-sensitive classification, IEEE Transactions on Knowledge and Data Engineering, vol.17, issue.4, pp.503-518, 2005.
DOI : 10.1109/TKDE.2005.67

C. Diamantini, D. Potena, and E. Storti, Ontology-Driven KDD Process Composition, LNCS, vol.43, issue.5-6, pp.285-296, 2009.
DOI : 10.1006/ijhc.1995.1081

T. Euler, Publishing Operational Models of Data Mining Case Studies Workshop on Data Mining Case Studies at the 5 th, IEEE ICDM, pp.99-106, 2005.

K. Morik and M. Scholz, The MiningMart approach to knowledge discovery in databases Intelligent Technologies for Information Analysis, pp.47-65, 2004.

M. Cannatro and C. Comito, A data mining ontology for grid programming In proceedings of 1st International Workshop on Semantics in Peer-to-Peer and Grid Computing, conjunction with WWW2003, pp.113-134, 2003.

M. Hilario, P. Do, H. Nguyen, A. Woznica, and A. Kalousis, Ontology-Based Meta-Mining of Knowledge Discovery Workflows, Studies in Computational Intelligence Meta-Learning in Computational Intelligence, pp.273-315, 2011.
DOI : 10.1007/978-3-642-20980-2_9

J. Kietz, F. Serban, and A. Bernstein, eProPlan: A tool to model automatic generation of data mining workflows, Proceedings of the 3rd Planning to Learn Workshop (WS9) at ECAI 2010, 2010.

H. Behja, E. Zemmouri, and A. Marzak, Viewpoint-based annotations for Knowledge Discovery in Databases, 2010 International Conference on Machine and Web Intelligence, pp.299-302, 2010.
DOI : 10.1109/ICMWI.2010.5647881

A. I. Anton, Goal-based requirements analysis, Proceedings of the Second International Conference on Requirements Engineering, pp.136-144, 1996.
DOI : 10.1109/ICRE.1996.491438

A. I. Anton, Goal Identification and Refinement in the Specification of Information Systems, 1997.

B. Nuseibeh and S. Easterbrook, Requirements engineering, Proceedings of the conference on The future of Software engineering , ICSE '00, pp.35-46, 2000.
DOI : 10.1145/336512.336523

P. Giorgini, S. Rizzi, and M. Garzetti, Goal-oriented requirement analysis for data warehouse design, Proceedings of the 8th ACM international workshop on Data warehousing and OLAP , DOLAP, pp.47-56, 2005.
DOI : 10.1145/1097002.1097011

S. Khouri, L. Bellatreche, and P. Marcel, Towards a Method for Persisting Requirements and Conceptual Models in Data Warehousing Context, 27ième Journées Bases de Données Avancées BDA2011, 2011.

M. Kumar, A. Gosain, and Y. Singh, Stakeholders Driven Requirements Engineering Approach for Data Warehouse Development, Journal of Information Processing Systems, vol.6, issue.3, pp.385-402, 2010.
DOI : 10.3745/JIPS.2010.6.3.385

M. Glinz, On Non-Functional Requirements, 15th IEEE International Requirements Engineering Conference (RE 2007), pp.21-26, 2007.
DOI : 10.1109/RE.2007.45

R. Jarvis, G. Mcarthur, J. Mylopoulos, P. Rodriguez-gianolli, and S. Zhou, Semantic models for knowledge management, Proceedings of the Second International Conference on Web Information Systems Engineering, pp.8-16, 2001.
DOI : 10.1109/WISE.2001.996462

P. Giorgini, E. Nicchiarelli, J. Mylopoulous, and R. Sebastiani, Formal Reasoning Techniques for Goal Models, Journal on Data Semantics LNCS, vol.2800, pp.1-20, 2003.
DOI : 10.1007/978-3-540-39733-5_1

A. Aybuke and W. Claes, Engineering and Managing Software Requirements, 2005.

P. Chapman, J. Clinton, R. Kerber, T. Khabaza, T. Reinartz et al., CRISP-DM 1.0 Stepby-step data mining guide, 1999.

C. Rolland and C. Salinesi, Modeling Goals and Reasoning with Them, Engineering and Managing Software Requirements (EMSR), 2005.
DOI : 10.1007/3-540-28244-0_9
URL : https://hal.archives-ouvertes.fr/hal-00706380

. Fact++, FaCT++ OWL-DL reasoner