M. Dean and G. Schreiber, OWL web ontology language reference, W3C recommendation, p.3, 2004.

E. Rahm and P. A. Bernstein, A survey of approaches to automatic schema matching, The VLDB Journal, vol.10, issue.4, pp.334-350, 2001.
DOI : 10.1007/s007780100057

P. Shvaiko and J. Euzenat, A Survey of Schema-Based Matching Approaches, J. Data Semantics IV, pp.146-171, 2005.
DOI : 10.1007/11603412_5
URL : https://hal.archives-ouvertes.fr/hal-00922287

A. Doan, J. Madhavan, P. Domingos, and A. Y. Halevy, Learning to map between ontologies on the semantic web, Proceedings of the eleventh international conference on World Wide Web , WWW '02, pp.662-673, 2002.
DOI : 10.1145/511446.511532

J. David, F. Guillet, R. Gras, and H. Briand, An interactive, asymmetric and extensional method for matching conceptual hierarchies, 2006.
URL : https://hal.archives-ouvertes.fr/hal-00462283

R. Ichise, H. Takeda, and S. Honiden, Integrating multiple internet directories by instance-based learning, pp.22-30, 2003.

A. Doan, P. Domingos, and A. Y. Levy, Learning mappings between data schemas, Proceedings of the AAAI-2000 Workshop on Learning Statistical Models from Relational Data, 2000.

J. Euzenat and P. Valtchev, Similarity-based ontology alignment in owl-lite, In: ECAI, pp.333-337, 2004.
URL : https://hal.archives-ouvertes.fr/hal-00918127

J. Madhavan, P. A. Bernstein, and E. Rahm, Generic schema matching with cupid, In: The VLDB Journal, pp.49-58, 2001.

S. Castano, A. Ferrara, and S. Montanelli, H-match: an algorithm for dynamically matching ontologies in peer-based systems, In: SWDB, pp.231-250, 2003.

J. Euzenat, Ontology alignment evaluation initiative, 2008.
DOI : 10.1007/978-3-642-22630-4_6
URL : https://hal.archives-ouvertes.fr/hal-01140027

J. Euzenat, A. Ferrara, L. Hollink, A. Isaac, C. Joslyn et al., Results of the ontology alignment evaluation initiative, Fourth International Workshop on Ontology Matching, 2009.
URL : https://hal.archives-ouvertes.fr/hal-01140027

L. Serafini, P. Bouquet, B. Magnini, and S. Zanobini, An algorithm for matching contextualized schemas via SAT, Proceedings of CONTEXT'03, 2003.

P. Shvaiko and J. Euzenat, Ten Challenges for Ontology Matching, On the Move to Meaningful Internet Systems: OTM 2008, pp.1164-1182, 2008.
DOI : 10.1007/978-3-540-88873-4_18
URL : https://hal.archives-ouvertes.fr/hal-00825956

X. L. Dong, A. Y. Halevy, and C. Yu, Data integration with uncertainty, The VLDB Journal, vol.29, issue.1, pp.687-698, 2007.
DOI : 10.1007/s00778-008-0119-9

E. Adams, A Primer of Probability logic, 1998.

R. Tournaire and M. C. Rousset, Découverte automatique de correspondances entre taxonomies -internal report, 2008.

M. H. Degroot, Optimal Statistical Decisions (Wiley Classics Library), 2004.

I. H. Witten and E. Frank, Data mining, ACM SIGMOD Record, vol.31, issue.1, 2005.
DOI : 10.1145/507338.507355

T. H. Cormen, C. E. Leiserson, R. L. Rivest, and C. Stein, Introduction to Algorithms, 2001.

C. J. Van-rijsbergen, Information retrieval / C, J. van Rijsbergen. Butterworths, 1975.

P. Duchon, P. Flajolet, G. Louchard, and G. Schaeffer, Random generation of combinatorial structures: Boltzmann samplers and beyond, Proceedings of the 2011 Winter Simulation Conference (WSC), pp.4-5, 2004.
DOI : 10.1109/WSC.2011.6147745
URL : https://hal.archives-ouvertes.fr/hal-00654267

J. Euzenat, Semantic precision and recall for ontology alignment evaluation, In: IJCAI, pp.348-353, 2007.
URL : https://hal.archives-ouvertes.fr/hal-00817806

C. Beeri, M. Dowd, R. Fagin, and R. Statman, On the Structure of Armstrong Relations for Functional Dependencies, Journal of the ACM, vol.31, issue.1, pp.30-46, 1984.
DOI : 10.1145/2422.322414

G. Ramesh, W. Maniatty, and M. J. Zaki, Feasible itemset distributions in data mining, Proceedings of the twenty-second ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems , PODS '03, pp.284-295, 2003.
DOI : 10.1145/773153.773181

R. Fagin, Horn clauses and database dependencies, Journal of the ACM, vol.29, issue.4, pp.952-985, 1982.
DOI : 10.1145/322344.322347
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.71.6769

R. J. Quinlan, C4.5: Programs for Machine Learning (Morgan Kaufmann Series in Machine Learning), 1993.

G. W. Flake and S. Lawrence, Efficient svm regression training with smo, Machine Learning, vol.46, issue.1/3, pp.271-290, 2002.
DOI : 10.1023/A:1012474916001

R. Ichise, M. Hamasaki, and H. Takeda, Discovering Relationships Among Catalogs, Discovery Science, pp.3245-371, 2004.
DOI : 10.1007/978-3-540-30214-8_33
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.121.5336

J. Euzenat and P. Shvaiko, Ontology matching, 2007.
DOI : 10.1007/978-3-642-38721-0
URL : https://hal.archives-ouvertes.fr/hal-00918122

S. Melnik, H. Garcia-molina, and E. Rahm, Similarity flooding: a versatile graph matching algorithm and its application to schema matching, Proceedings 18th International Conference on Data Engineering, pp.117-128, 2002.
DOI : 10.1109/ICDE.2002.994702

G. Stumme and A. Maedche, FCA-MERGE: Bottom-Up Merging of Ontologies, Proc. of the 17 th International Joint Conference on Artificial Intelligence, pp.225-234, 2001.

A. Isaac, L. Van-der-meij, S. Schlobach, and S. Wang, An empirical study of instancebased ontology matching, pp.253-266, 2007.

W. S. Li and C. Clifton, SEMINT: A tool for identifying attribute correspondences in heterogeneous databases using neural networks, Data & Knowledge Engineering, vol.33, issue.1, pp.49-84, 2000.
DOI : 10.1016/S0169-023X(99)00044-0

H. Nottelmann and U. Straccia, Information retrieval and machine learning for probabilistic schema matching, Information Processing & Management, vol.43, issue.3, pp.552-576, 2007.
DOI : 10.1016/j.ipm.2006.10.014

H. Nottelmann and U. Straccia, A probabilistic, logic-based framework for automated web director alignment, Soft Computing in Ontologies and the Semantic Web of Studies in Fuzziness and Soft Computing, pp.47-77, 2006.

S. Wang, G. Englebienne, and S. Schlobach, Learning Concept Mappings from Instance Similarity, Proceedings of the 7th International Conference on The Semantic Web, pp.339-355, 2008.
DOI : 10.1090/S0025-5718-1980-0572855-7
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.182.5340

D. Aumueller, H. H. Do, S. Massmann, and E. Rahm, Schema and ontology matching with COMA++, Proceedings of the 2005 ACM SIGMOD international conference on Management of data , SIGMOD '05, pp.906-908, 2005.
DOI : 10.1145/1066157.1066283

H. H. Do and E. Rahm, COMA ??? A system for flexible combination of schema matching approaches, 2002.
DOI : 10.1016/B978-155860869-6/50060-3

P. Wang, B. Xu, and . Shvaiko, Lily: Ontology alignment results for OAEI, 2009.

F. Giunchiglia, P. Shvaiko, and M. Yatskevich, S-Match: an Algorithm and an Implementation of Semantic Matching, Proceedings of ESWS, pp.61-75, 2004.
DOI : 10.1007/978-3-540-25956-5_5

L. Chiticariu, M. A. Hernández, P. G. Kolaitis, and L. Popa, Semi-automatic schema integration in clio, pp.1326-1329, 2007.

A. Gal, Managing Uncertainty in Schema Matching with Top-K Schema Mappings, Journal on Data Semantics, vol.6, 2006.
DOI : 10.1007/11803034_5

A. Gal, A. Anaby-tavor, A. Trombetta, and D. Montesi, A framework for modeling and evaluating automatic semantic reconciliation, The VLDB Journal, vol.31, issue.1, pp.50-67, 2005.
DOI : 10.1007/s00778-003-0115-z

S. Castano, A. Ferrara, D. Lorusso, T. H. Nth, and R. Möller, Mapping Validation by Probabilistic Reasoning, Proc. 5th European Semantic Web Conference, 2008.
DOI : 10.1007/978-3-540-68234-9_15
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.144.5620

O. Benjelloun, A. D. Sarma, A. Y. Halevy, and J. Widom, Uldbs: Databases with uncertainty and lineage, pp.953-964, 2006.
DOI : 10.1007/s00778-007-0080-z
URL : http://hdl.handle.net/11858/00-001M-0000-000F-1B60-A

N. N. Dalvi and D. Suciu, Answering queries from statistics and probabilistic views, In: VLDB, pp.805-816, 2005.

M. Mao and Y. Peng, PRIOR system: Results for OAEI, Proceedings of the Ontology Alignment Evaluation Initiative, pp.165-172, 2006.

S. Castano, A. Ferrara, and G. Messa, Results of the HMatch ontology matchmaker in OAEI, Proceedings of the ISWC 2006 Workshop on Ontology Matching, 2006.

F. Hamdi, B. Safar, C. Reynaud, and H. Zargayouna, Alignment-Based Partitioning of Large-Scale Ontologies, Advances in Knowledge Discovery And Management, 2009.
DOI : 10.1007/978-3-642-00580-0_15
URL : https://hal.archives-ouvertes.fr/inria-00432606

P. Adjiman, P. Chatalic, F. Goasdoué, M. C. Rousset, and L. Simon, Distributed reasoning in a peer-to-peer setting: Application to the semantic web, J. Artif. Intell. Res. (JAIR), vol.25, pp.269-314, 2006.

D. Koller, A. Levy, and A. Pfeffer, P-CLASSIC: a tractable probablistic description logic, Proceedings of the National Conference on Artificial Intelligence, pp.390-397, 1997.

F. Sa¨?ssa¨?s, N. Pernelle, and M. C. Rousset, Combining a logical and a numerical method for data reconciliation, Journal on Data Semantics XII, pp.66-94, 2009.

R. Tournaire, J. M. Petit, M. C. Rousset, and A. Termier, Discovery of Probabilistic Mappings between Taxonomies: Principles and Experiments, 2009.
DOI : 10.1007/978-3-540-88564-1_22
URL : https://hal.archives-ouvertes.fr/hal-00932491

C. Fellbaum, WordNet: An Electronic Lexical Database (Language, Speech, and Communication), 1998.

M. Nilsson and D. O-'neill, Id3 official site http

F. Lin and K. Sandkuhl, A Survey of Exploiting WordNet in Ontology Matching, Artificial Intelligence in Theory and Practice II, pp.341-350, 2008.
DOI : 10.1007/978-0-387-09695-7_33

P. Resnik, Semantic similarity in a taxonomy: An information-based measure and its application to problems of ambiguity in natural language, Journal of artificial intelligence research, vol.11, issue.95, p.130, 1999.