Biblio

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N. Bidoit, Colazzo, D., Malla, N., and Sartiani, C., “Evaluating Queries and Updates on Big XML Documents”, Information Systems Frontiers, 2018.
N. Bidoit, Bosc, P., Cholvy, L., Pivert, O., and Rousset, M. - C., “Bases de données et intelligence artificielle”, in Panorama actuel de l'intelligence artificielle: ses bases méthodologiques, ses développements, P. Marquis, Papini, O., and Prade, H., Eds. Cépaduès, 2014.
N. Bidoit, Colazzo, D., Malla, N., Ulliana, F., Nolè, M., and Sartiani, C., “Processing XML queries and updates on Map/Reduce clusters (demo)”, in International Conference on Extending Database Technologies (EDBT), 2013, pp. 745-748.
N. Bidoit, Colazzo, D., Malla, N., and Sahakyan, M., “Optimisation de Mises a jour XML par typage et projection”, in Journés Bases de Donnés Avancées (BDA), 2009.
N. Bidoit, Herschel, M., and Tzompanaki, K., “Refining SQL Queries based on Why-Not Polynomials”, in {8th USENIX Workshop on the Theory and Practice of Provenance, TaPP 2016}, Washington, D.C., United States, 2016.
N. Bidoit, Herschel, M., and Tzompanaki, K., “Query-Based Why-Not Provenance with NedExplain”, in Extending Database Technology (EDBT), Athens, Greece, 2014.
N. Bidoit, Herschel, M., and Tzompanaki, K., “Efficiently and Effectively Answering Why-Not Questions based on Provenance Polynomials”. OAK team, Inria Saclay ; INRIA, p. 25, 2015.
N. Bidoit and Colazzo, D., “Testing XML constraint satisfiability”, Electr. Notes Theor. Comput. Sci., vol. 174, pp. 45-61, 2008.
N. Bidoit and Colazzo, D., “Hybrid Logic for Expressing XML Schemas with Typed References”, Seventh International Conference on Computer Science and Information (CSIT), 2009.
N. Bidoit and Doucet, A., “La diversité des données.”, in {Les Big Data à découvert}, M. Bouzeghoub and Mosseri, R., Eds. {CNRS EDITIONS}, 2017, pp. 24-25.
M. Bienvenu, Ortiz, M., Simkus, M., and Xiao, G., “Tractable Queries for Lightweight Description Logics”, in Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI), 2013.
M. Bienvenu, Lutz, C., and Wolter, F., “Query Containment in Description Logics Reconsidered”, in Proc. of International Conference on the Principles of Knowledge Representation and Reasoning (KR), Italie, 2012.
M. Bienvenu, Fritz, C., and Mcilraith, S., “Specifying and computing preferred plans”, Artificial Intelligence, vol. 175, pp. 1308-1345, 2011.
M. Bienvenu, Bourgaux, C., and Goasdoué, F., “Explaining Inconsistency-Tolerant Query Answering over Description Logic Knowledge Bases”, in Proceedings of the Thirtieth {AAAI} Conference on Artificial Intelligence, February 12-17, 2016, Phoenix, Arizona, {USA.}, 2016, pp. 900–906.
M. Bienvenu, Deutch, D., Martinenghi, D., Senellart, P., and Suchanek, F., “Dealing with the Deep Web and all its Quirks”, in Proc. of Very Large Data Search (VLDS), Istanbul, Turkey, 2012, pp. 21-24.
M. Bienvenu, Calvanese, D., Ortiz, M., and Simkus, M., “Nested Regular Path Queries in Description Logics”, in Fourteenth International Conference on the Principles of Knowledge Representation and Reasoning (KR), Vienna, Austria, 2014.
M. Bienvenu, Deutch, D., and Suchanek, F., “Provenance for Web 2.0 Data”, in Proc. of VLDB Workshop on Secure Data Management, Turquie.
M. Bienvenu, Ortiz, M., Simkus, M., and Xiao, G., “Tractability Guarantees for DL-Lite Query Answering”, in Proceedings of the 26th International Workshop on Description Logics (DL), 2013, pp. 41-52.
M. Bienvenu, Cate, B. Ten, Lutz, C., and Wolter, F., “Ontology-based data access: A study through disjunctive datalog, CSP, and MMSNP”, in ACM SIGMOD-SIGACT-SIGART Conference on Principles of Database Systems (PODS).
M. Bienvenu, “On the Complexity of Consistent Query Answering in the Presence of Simple Ontologies”, in Proc. of American Association of Artificial Intelligence Conference (AAAI), Canada, 2012.
M. Bienvenu, “First-Order Expressibility Results for Queries over Inconsistent DL-Lite Knowledge Bases”, in Proc. of International Workshop on Description Logics (DL), 2011.
M. Bienvenu, Lutz, C., and Wolter, F., “First-Order Rewritability of Atomic Queries in Horn Description Logics”, in Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI), 2013.
M. Bienvenu, Deutch, D., and Abiteboul, S., “Deduction in the Presence of Distribution and Contradictions”, in Proc. of International Workshop on the Web and Databases (WebDB).
M. Bienvenu, Ortiz, M., and Simkus, M., “Conjunctive Regular Path Queries in Lightweight Description Logics”, in Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI), 2013.
M. Bienvenu, Bourgaux, C., and Goasdoué, F., “Query-Driven Repairing of Inconsistent DL-Lite Knowledge Bases”, in Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, {IJCAI} 2016, New York, NY, USA, 9-15 July 2016, 2016, pp. 957–964.

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