Biblio

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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, 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, 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., 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”, ACM Transactions on Database Systems (TODS), vol. 39, p. 33, 2014.
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, 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, Fritz, C., and Mcilraith, S., “Specifying and computing preferred plans”, Artificial Intelligence, vol. 175, pp. 1308-1345, 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.
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.
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.
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., “Optimal Observability for Diagnosability”, in Proc. of International Workshop on Principles of Diagnosis (DX), 2008.

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