M. Al-bakri, M. Atencia, S. Lalande, and M. Rousset, Inferring same-as facts from linked data: an iterative import-by-query approach, Proceedings of the Twenty- Ninth AAAI Conference on Artificial Intelligence, pp.9-15, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01113463

A. Amarilli, P. Bourhis, and P. Senellart, Provenance Circuits for Trees and Treelike Instances, Proceedings, Part II, pp.56-68, 2015.
DOI : 10.1007/978-3-662-47666-6_5
URL : https://hal.archives-ouvertes.fr/hal-01178399

A. Arasu, C. Ré, and D. Suciu, Large-Scale Deduplication with Constraints Using Dedupalog, 2009 IEEE 25th International Conference on Data Engineering, pp.952-963, 2009.
DOI : 10.1109/ICDE.2009.43

M. Atencia, J. David, and J. Euzenat, Data interlinking through robust linkkey extraction, ECAI 2014 -21st European Conference on Artificial Intelligence Czech Republic -Including Prestigious Applications of Intelligent Systems, pp.15-20, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01179166

M. Atencia, J. David, and F. Scharffe, Keys and Pseudo-Keys Detection for Web Datasets Cleansing and Interlinking, Knowledge Engineering and Knowledge Management -18th International Conference, EKAW 2012 Proceedings, pp.144-153, 2012.
DOI : 10.1007/978-3-642-33876-2_14
URL : https://hal.archives-ouvertes.fr/hal-00785745

M. Bröcheler, L. Mihalkova, and L. Getoor, Probabilistic similarity logic, UAI 2010, Proceedings of the Twenty-Sixth Conference on Uncertainty in Artificial Intelligence, pp.73-82, 2010.

A. K. Chandra and P. M. Merlin, Optimal implementation of conjunctive queries in relational databases, Proceedings of the 9th ACM Symposium on Theory of Computing, pp.77-90, 1975.

P. Christen, Data Matching -Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection, Data-Centric Systems and Applications, 2012.

N. Dalvi and D. Suciu, The dichotomy of probabilistic inference for unions of conjunctive queries, Journal of the ACM, vol.59, issue.6, pp.17-37, 2012.
DOI : 10.1145/2395116.2395119

A. Ferrara, A. Nikolov, and F. Scharffe, Data Linking for the Semantic Web, International Journal on Semantic Web and Information Systems, vol.7, issue.3, pp.46-76, 2011.
DOI : 10.4018/jswis.2011070103
URL : https://hal.archives-ouvertes.fr/lirmm-00831510

C. Forgy, Rete: A fast algorithm for the many pattern/many object pattern match problem, Artificial Intelligence, vol.19, issue.1, pp.17-37, 1982.
DOI : 10.1016/0004-3702(82)90020-0

N. Fuhr, Probabilistic models in information retrieval', The Computer Journal, pp.243-255, 1992.

N. Fuhr, Probabilistic datalog: Implementing logical information retrieval for advanced applications, Journal of the American Society for Information Science, vol.29, issue.2, pp.95-110, 2000.
DOI : 10.1002/(SICI)1097-4571(2000)51:2<95::AID-ASI2>3.0.CO;2-H

T. Heath and C. Bizer, Linked Data: Evolving the Web into a Global Data Space, Synthesis Lectures on the Semantic Web: Theory and Technology, vol.1, issue.1, 2011.
DOI : 10.2200/S00334ED1V01Y201102WBE001

A. Hogan, A. Zimmermann, J. Umbrich, A. Polleres, and S. Decker, Scalable and distributed methods for entity matching, consolidation and disambiguation over linked data corpora, Web Semantics: Science, Services and Agents on the World Wide Web, vol.10, pp.76-110, 2012.
DOI : 10.1016/j.websem.2011.11.002

R. Isele and C. Bizer, Active learning of expressive linkage rules using genetic programming, Web Semantics: Science, Services and Agents on the World Wide Web, 2013.
DOI : 10.1016/j.websem.2013.06.001

A. Ngomo and S. Auer, LIMES -A timeefficient approach for large-scale link discovery on the web of data', in IJCAI, Proceedings of the 22nd International Joint Conference on Artificial Intelligence, pp.2312-2317, 2011.

A. Ngomo and K. Lyko, EAGLE: Efficient Active Learning of Link Specifications Using Genetic Programming, Proceedings, pp.149-163, 2012.
DOI : 10.1007/978-3-642-30284-8_17

A. Ngomo and K. Lyko, Unsupervised learning of link specifications: deterministic vs. non-deterministic, Proceedings of the 8th International Workshop on Ontology Matching colocated with the 12th International Semantic Web Conference (ISWC 2013) CEUR Workshop Proceedings, pp.25-36, 2013.

A. Nikolov, E. Mathieu-d-'aquin, and . Motta, Unsupervised learning of link discovery configuration', in The Semantic Web: Research and Applications -9th Extended Semantic Web Conference, Proceedings, Lecture Notes in Computer Science, pp.119-133, 2012.

F. Sa¨?ssa¨?s, N. Pernelle, and M. Rousset, L2R: A logical method for reference reconciliation, Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, pp.329-334, 2007.

F. Sa¨?ssa¨?s, N. Pernelle, and M. Rousset, Combining a logical and a numerical method for data reconciliation, Journal on Data Semantics, vol.12, pp.66-94, 2009.

P. Singla and P. M. Domingos, Entity Resolution with Markov Logic, Sixth International Conference on Data Mining (ICDM'06), pp.572-582, 2006.
DOI : 10.1109/ICDM.2006.65

D. Symeonidou, V. Armant, N. Pernelle, F. Sa¨?ssa¨?s, and . Sakey, Scalable almost key discovery in RDF data', in The Semantic Web -ISWC 2014 -13th International Semantic Web Conference, Proceedings, Part I, pp.33-49, 2014.

J. Volz, C. Bizer, M. Gaedke, and G. Kobilarov, Silk -A link discovery framework for the web of data, Proceedings of the WWW2009 Workshop on Linked Data on the Web CEUR Workshop Proceedings. CEUR-WS.org, 2009.