Biblio

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N. Bidoit, Colazzo, D., and Ulliana, F., Detecting XML query-update independence, in Journés Bases de Donnés Avancées (BDA), 2010.
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, 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. Cépaduès, 2014.
N. Bidoit, Herschel, M., and Tzompanaki, K., EFQ: Why-Not Answer Polynomials in Action, in 41st International Conference on Very Large Data Bases - VLDB 2015, Hawai, United States, 2015.
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 and Objois, M., Fixpoint and While Temporal Query Languages, J. Log. Comput., vol. 19, pp. 369-404, 2009.
N. Bidoit, Herschel, M., and Tzompanaki, K., Query-Based Why-Not Provenance with NedExplain, in Extending Database Technology (EDBT), Athens, Greece, 2014.
N. Bidoit, Types and Constraints: From Relational to XML Data, in 4th International Workshops on Semantics in Data and Knowledge Bases (SDKB), 2010, vol. 6834, pp. 40-53.
N. Bidoit, Herschel, M., and Tzompanaki, K., Efficient Computation of Polynomial Explanations of Why-Not Questions, in 24th ACM International Conference on Information and Knowledge Management - CIKM 2015, Melbourne, Australia, 2015.
N. Bidoit and Doucet, A., La diversité des données., in {Les Big Data à découvert}, M. Bouzeghoub and Mosseri, R. {CNRS EDITIONS}, 2017, pp. 24-25.
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, 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, ACM Transactions on Database Systems (TODS), vol. 39, p. 33, 2014.
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, 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.
M. Bienvenu, Bourgaux, C., and Goasdoué, F., Query-Driven Repairing of Inconsistent DL-Lite Knowledge Bases, in {IJCAI: International Joint Conference on Artificial Intelligence}, New York, United States, 2016.
M. Bienvenu, Lutz, C., and Wolter, F., Deciding FO-Rewritability in EL, in Proc. of International Workshop on Description Logics (DL), Italie.
M. Bienvenu, Kikot, S., and Podolskii, V. V., Succinctness of Query Rewriting in OWL 2 QL: The Case of Tree-like Queries, in Twenty-Seventh International Workshop on Description Logics (DL), Vienna, Austria, 2014.
M. Bienvenu, Fritz, C., and Mcilraith, S., Specifying and computing preferred plans, Artificial Intelligence, vol. 175, pp. 1308-1345, 2011.
M. Bienvenu and Rosati, R., Tractable Approximations of Consistent Query Answering for Robust Ontology-based Data Access, in Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI), 2013.
M. Bienvenu, Bourgaux, C., and Goasdoué, F., Querying Inconsistent Description Logic Knowledge Bases under Preferred Repair Semantics, in AAAI Conference on Artificial Intelligence (AAAI), Quebec city, Canada, 2014.

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