Biblio

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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, 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, 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, First-Order Expressibility Results for Queries over Inconsistent DL-Lite Knowledge Bases, in Proc. of International Workshop on Description Logics (DL), 2011.
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, Lutz, C., and Wolter, F., Deciding FO-Rewritability in EL, in Proc. of International Workshop on Description Logics (DL), Italie.
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, 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 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.
R. Bonaque, Top-k search over rich web content, {Université Paris-Saclay}, 2016.
R. Bonaque, Cautis, B., Goasdoué, F., and Manolescu, I., Toward Social, Structured and Semantic Search, in Surfacing the Deep and the Social Web (SDSW), Riva del Garda, Trentino, Italy, 2014, vol. 1310.
R. Bonaque, Cautis, B., Goasdoué, F., and Manolescu, I., Social, Structured, and Semantic Search. Inria Saclay Ile de France, p. 38 p, 2015.
R. Bonaque, Cao, T. Duc, Cautis, B., Goasdoué, F., Letelier, J., Manolescu, I., Mendoza, O., Ribeiro, S., Tannier, X., and Thomazo, M., Mixed-instance querying: a lightweight integration architecture for data journalism, in {VLDB}, New Delhi, India, 2016.
R. Bonaque, Cautis, B., Goasdoué, F., and Manolescu, I., Social, Structured and Semantic Search, in {International Conference on Extending Database Technology}, Bordeaux, France, 2016.
R. Bonaque, Cautis, B., Goasdoué, F., and Manolescu, I., Recherche Sociale, Structurée et Sémantique, in {32ème Conférence sur la Gestion de Données - Principes, Technologies et Applications}, Poitiers, France, 2016.
A. Bonifati, Goodfellow, M., Manolescu, I., and Sileo, D., Algebraic incremental maintenance of XML views, in EDBT: 14th International Conference on Extending Database Technology, Uppsala, Sweden, 2011.
A. Bonifati, Goodfellow, M., Manolescu, I., and Sileo, D., Algebraic incremental maintenance of XML views, ACM Transactions on Database Systems, 2013.
C. Bourgaux, Inconsistency Handling in Ontology-Mediated Query Answering, {Université Paris-Saclay}, 2016.
G. Bourgne, Dague, P., Nouioua, F., and Rapin, N., Diagnosability of Input Output Symbolic Transition Systems, in Proc. of International Conference on Advances in System Testing and Validation Lifecycle (VALID), 2009.
D. Bouthinon, Soldano, H., and Ventos, V., Concept Learning from (Very) Ambiguous Examples, in Actes Conférence Francophone sur l'Apprentissage (CAP), Hammamet, Tunisie, 2009, pp. 197-208.
D. Bouthinon, Soldano, H., and Ventos, V., Concept Learning from (Very) Ambiguous Examples, in Proc. of International Conference on Machine Learning and Data Mining (MLDM), Leipzig, Germany, 2009, vol. 5632/2009, pp. 465-478.
A. Bozzon, Brambilla, M., Ceri, S., Fraternali, P., and Manolescu, I., Liquid Queries and Liquid Results in Search Computing, in Search Computing Challenges and Directions, M. Brambilla and Ceri, S., Eds. Springer, 2009.
L. Brandan-Briones, Lazovik, A., and Dague, P., Optimizing the system observability level for diagnosability, in Proc. of International Symposium on Leveraging Applications of Formal Methods, Verification and Validation (ISoLA), Chalkidiki, Kassandra, Greece, 2008.

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