A. Appriou, Approche générique de la gestion de l'incertain dans les processus de fusion multisenseur, vol.22, pp.307-319, 2005.

F. Baader, I. Horrocks, and U. Sattler, Description logics as ontology languages for the semantic web, Mechanizing mathematical reasoning, vol.2605, pp.228-248, 2005.

K. Bache and M. Lichman, UCI machine learning repository, 2013.

T. Berners-lee, J. Hendler, and O. Lassila, The semantic web, Scientific American, vol.284, issue.5, pp.34-43, 2001.

P. Besana, A framework for combining ontology and schema matchers with dempster-shafer, Proceedings of the 1st International Workshop on Ontology Matching (OM-2006) collocated with the 5th International Semantic web Conference (ISWC-2006), vol.225, 2006.

P. Bonissone and R. Tong, Editorial: reasoning with uncertainty in expert systems, International Journal of Man Machine Studies, vol.22, pp.241-250, 1985.

P. Borst, J. M. Akkermans, and J. L. Top, Engineering ontologies, International Journal on Human Computer Studies, vol.46, issue.2/3, pp.365-406, 1997.

P. Bouquet, F. Giunchiglia, F. Van-harmelen, L. Serafini, and H. Stuckenschmidt, Contextualizing ontologies, Journal of Web Semantics, vol.1, issue.1, pp.325-334, 2004.

R. Carvalho, Probabilistic ontology: Representation and modeling methodology (Unpublished doctoral dissertation), 2011.

B. Chandrasekaran, J. Josephson, and V. Benjamins, What are ontologies and why do we need them?, IEEE Intelligent Systems, vol.14, pp.20-26, 1999.

P. Costa and K. Laskey, Multi-entity bayesian networks without multi-tears, Department of systems engineering and operations research, 2005.

P. Costa and K. Laskey, Pr-OWL: A framework for probabilistic ontologies, Proceeding of the Fourth International Conference on Formal Ontology in Information Systems (FOIS), vol.150, pp.237-249, 2006.

V. Cross, Uncertainty in the automation of ontology matching, 4th international symposium on uncertainty modeling and analysis (isuma' 03, pp.135-140, 2003.

A. Dempster, Upper and Lower probabilities induced by a multivalued mapping, Annals of Mathematical Statistics, vol.38, pp.325-339, 1967.

T. Denoeux, A K-nearest neighbor classification rule based on Dempster-Shafer Theory, IEEE Transactions on Systems, Man and Cybernetics, vol.25, issue.5, pp.804-813, 1995.

T. Denoeux, Analysis of evidence-theoretic decision rules for pattern classification, Pattern Recognition, vol.30, issue.7, pp.1095-1107, 1997.

Z. Ding, BayesOWL: a probabilistic framework for semantic web (Unpublished doctoral dissertation), 2005.

H. Do, S. Melnik, and E. Rahm, Comparison of schema matching evaluations, Web, Web-Services, and Database Systems, vol.2593, pp.221-237, 2002.

D. Dubois and H. Prade, Possibility theory, 1988.
URL : https://hal.archives-ouvertes.fr/hal-01136336

D. Dubois and H. Prade, Representation and combination of uncertainty with belief functions and possibility measures, Computational Intelligence, vol.4, pp.244-264, 1988.

M. Ehrig, Ontology alignment: bridging the semantic gap, vol.4, 2007.

M. Ehrig and S. Staab, QOM -quick ontology mapping, International semantic web conference, vol.3298, pp.289-303, 2004.

M. Ehrig and Y. Sure, Ontology mapping -an integrated approach. In the first european semantic web symposium, pp.76-91, 2004.

A. Essaid and B. Ben-yaghlane, BeliefOWL: An evidential representation in OWL ontology, Proceedings of the Fifth International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2009), collocated with the 8th International Semantic Web Conference, vol.527, pp.77-80, 2009.

A. Essaid, B. Ben-yaghlane, and A. Martin, Gestion du conflit dans l'appariement des ontologies, Atelier Graphes et Appariement d'Objets Complexes, en conjonction avec EGC, pp.50-60, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00657620

A. Essaid, A. Martin, G. Smits, and B. Ben-yaghlane, Processus de décision crédibiliste pour l'alignement des ontologies, Les Rencontres Francophones sur la Logique Floue et ses Applications, pp.59-65, 2013.

A. Essaid, A. Martin, G. Smits, and B. Ben-yaghlane, A distance-based decision in the credal level, Proceedings of 12th International Conference on Artificial Intelligence and Symbolic Computation, vol.8884, pp.147-156, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01110349

A. Essaid, A. Martin, G. Smits, and B. Ben-yaghlane, Uncertainty in ontology matching: a decision rule-based approach, Proceedings of the 15th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, vol.442, pp.46-55, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01108547

J. Euzenat, An api for ontology alignment, Proceedings of 3rd International Semantic Web Conference, vol.3298, pp.698-712, 2004.
URL : https://hal.archives-ouvertes.fr/hal-00825931

J. Euzenat, M. Ehrig, A. Jentzsch, M. Mochol, and P. Shvaiko, Case-based recommendation of matching tools and techniques, 2006.
URL : https://hal.archives-ouvertes.fr/hal-00825941

J. Euzenat, C. Meilicke, P. Shvaiko, H. Stuckenschmidt, and C. Santos, Ontology alignment evaluation initiative: six years of experience, Journal on Data Semantics, vol.15, pp.158-192, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00781141

J. Euzenat, A. Mocan, and F. Scharffe, Ontology management: semantic web, semantic web services, and business applications, pp.177-206, 2008.

J. Euzenat and P. Shvaiko, Ontology matching, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00817824

J. Euzenat and P. Shvaiko, Ontology matching: State of the art and future challenges, IEEE Transactions on knowledge and data engineering, vol.25, issue.1, pp.158-176, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00917910

D. Fensel, Ontologies: a silver bullet for knowledge management and electronic commerce, 2004.

M. Gao and C. Liu, Extending OWL by fuzzy description logic, Proceedings of 17th IEEE International Conference on Tools with Artificial Intelligence, pp.562-567, 2005.

T. Gruber, A translation approach to portable ontology specifications, Knowledge Acquisition, vol.5, issue.2, pp.199-220, 1993.

P. Haase and L. Stojanovic, Consistent evolution of OWL ontologies, Proceedings of the Second European Semantic Web Conference, vol.3532, pp.182-197, 2005.

A. Hameed, A. Preece, and D. Sleeman, Handbook on ontologies, 2004.

J. Hois, A semantic framework for uncertainties in ontologies, Twenty-second international flairs conference, 2009.

I. Horrocks, P. Patel-schneider, H. Boley, S. Tabet, B. Grosof et al., SWRL: a semantic web rule language combining OWL and RuleML, 2004.

M. Huzza, M. Harzallah, and F. Trichet, OntoMas: a tutoring system dedicated to ontology matching, Proceedings of the 1st International Workshop on Ontology Matching Collocated with the 5th International Semantic Web Conference, vol.225, pp.228-323, 2006.

A. Jousselme, D. Grenier, and E. Bossé, A new distance between two bodies of evidence, Information Fusion, vol.2, issue.2, pp.91-101, 2001.

M. Klein, Combining and relating ontologies: an analysis of problems and solutions, Proceedings of the International Workshop on Ontologies and Information Sharing at the 17th International Joint Conference on Artificial Intelligence, pp.53-62, 2001.

M. Koivunen, W3C Semantic Web Activity, 2001.

P. Laublet, J. Charlet, and C. Reynaud, Sur des aspects primordiaux du web sémantique, La redocumentarisation du monde, 2007.

L. Hégarat-mascle, S. Bloch, I. Vidal-madjar, and D. , Application of Dempster-Shafer evidence theory to unsupervised classification in multisource remote sensing, IEEE T. Geoscience and Remote Sensing, vol.35, issue.4, pp.1018-1031, 1997.

D. Lin, An information-theoretic definition of similarity, Proceedings of the 15th International Conference of Machine Learning, pp.296-304, 1998.

J. Madhavan, P. A. Bernstein, P. Domingos, and A. Y. Halevy, Representing and reasoning about mappings between domain models, Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, pp.80-86, 2002.

A. Maedche, B. Motik, N. Silva, and R. Volz, MAFRA -a mapping framework for distributed ontologies, Proceedings of the 13th International Conference on knowledge engineering and knowledge management (ekaw), vol.2473, pp.235-250, 2002.

A. Martin and I. Quidu, Decision support with belief functions theory for seabed characterization, 11th International Conference on Information Fusion, pp.1-8, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00281740

P. Mitra, N. Noy, and A. Jaiswal, OMEN: A probabilistic ontology mapping tool, Proceedings of the 4th International Semantic Web Conference, Galway, Ireland, vol.3729, pp.537-547, 2005.

M. Mochol, The methodology for finding suitable ontology matching approaches (Unpublished doctoral dissertation), 2009.

M. Nagy and M. Vargas-vera, Towards an automatic semantic data integration: multi-agent framework approach, Semantic web, pp.107-134, 2010.

M. Nagy, M. Vargas-vera, and E. Motta, DSSIM -managing uncertainty on the semantic web, Proceedings of the 2nd International Workshop on Ontology Matching collocated with the 6th International Semantic Web Conference and the 2nd Asian Semantic Web Conference, busan, korea, vol.304, pp.160-169, 2007.

D. Ngo, Z. Bellahsene, and K. Todorov, Opening the black box of ontology matching, Proceedings of The Semantic Web: Semantics and Big Data, 10th International Conference, vol.7882, pp.16-30, 2013.
URL : https://hal.archives-ouvertes.fr/lirmm-00864960

N. Noy and M. Klein, Ontology evolution: Not the same as schema evolution, Knowledge and Information Systems, vol.6, issue.4, pp.428-440, 2004.

R. Pan, Z. Ding, Y. Yu, and Y. Peng, A bayesian network approach to ontology mapping, Proceedings of the Fourth International Semantic Web Conference, vol.3729, pp.563-577, 2005.

J. Pearl, Jeffrey's rule, passage of experience, and neo-bayesianism, Knowledge representation and defeasible reasoning, pp.245-265, 1990.

L. Predoiu, F. Martin-recuerda, A. Polleres, C. Feier, A. Mocan et al., Framework for representing ontology networks with mappings that deal with conflicting and complementary concept definitions, 2004.

F. Provost and R. Kohavi, On applied research in machine learning, Editorial for the special issue on applications of machine learning and the knowledge discovery process, vol.30, 1998.

G. Shafer, A mathematical theory of evidence, 1976.

P. Shvaiko, J. Euzenat, . Coopis, . Doa, I. S. Gada et al., Ten challenges for ontology matching, On the Move to Meaningful Internet Systems: Confederated International Conferences, vol.5332, pp.1164-1182, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00825956

F. Smarandache, A. Martin, and C. Osswald, Contradiction measures and specificity degrees of basic belief assignments, Proceedings of the 14th International Conference on Information Fusion, pp.1-8, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00599981

P. Smart and P. Engelbrecht, An analysis of the origin of ontology mismatches on the semantic web, Proceedings of Knowledge Engineering: Practice and Patterns, 16th International Conference, vol.5268, pp.120-135, 2008.

P. Smets, Constructing the pignistic probability function in a context of uncertainty, Proceedings of the Fifth annual conference on uncertainty in artificial intelligence, pp.29-39, 1989.

P. Smets, The combination of evidence in the Transferable Belief Model, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.12, issue.5, pp.447-458, 1990.

P. Smets, Varieties of ignorance and the need for well-founded theories, Information Sciences, vol.57, pp.135-144, 1991.

P. Smets, Imperfect information: Imprecision and uncertainty, Uncertainty Management in Information Systems, pp.225-254, 1996.

P. Smets, Analyzing the combination of conflicting belief functions, Information Fusion, vol.8, issue.4, pp.387-412, 2007.

P. Smets and R. Kennes, The transferable belief model, Artificial Intelligence, vol.66, issue.2, pp.191-234, 1994.
URL : https://hal.archives-ouvertes.fr/hal-01185821

G. Stoilos, G. Stamou, V. Tzouvaras, J. Pan, and I. Horrocks, Fuzzy OWL: uncer, 2005.