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S. Maniu, Cheng, R., and Senellart, P., An Indexing Framework for Queries on Probabilistic Graphs, {ACM Trans. Datab. Syst}, 2017.
F. Saïs, Pruski, C., and Da Silveira, M., Inferring the evolution of ontology axioms from RDF data dynamics, in {Proceedings of the Knowledge Capture Conference, {K-CAP} 2017, Austin, TX, USA, December 4-6, 2017}, Austin, TX, United States, 2017.
F. Bugiotti, Bursztyn, D., Deutsch, A., Ileana, I., and Manolescu, I., Invisible Glue: Scalable Self-Tuning Multi-Stores, in Conference on Innovative Data Systems Research (CIDR), Asilomar, United States, 2015.
J. C. Dos-Reis, Pruski, C., Da Silveira, M., and Reynaud, C., Identification des informations conceptuelles définissant un alignement entre ontologies médicales, in Atelier SIIM associé à la conférence francophone dÕIngénierie des Connaissances (IC), 2013.
G. Audemard, Lagniez, J. - M., and Simon, L., Improving Glucose for Incremental SAT Solving with Assumptions: Application to MUS Extraction, in Proc. of International Conference on Theory and Applications of Satisfiability Testing (SAT), Helsinki, Finlande, 2013.
H. Soldano, Ventos, V., Champesme, M., and Forge, D., Incremental Construction of Alpha Lattices and Association Rules, in Knowledge-Based and Intelligent Information and Engineering Systems, 2010, vol. 2, pp. 351-360.
L. Ye, Dague, P., and Yan, Y., An incremental approach for pattern diagnosability in distributed discrete event systems, in Proc. of International Conference on Tools with Artificial Intelligence (ICTAI), 2009.
M. Thiam, Bennacer, N., Pernelle, N., and Lô, M., Incremental Ontology-Based Extraction and Alignment in Semi-Structured Documents, in Proc. of International Conference on Database and Expert Systems Applications (DEXA), Linz Autriche, 2009, pp. 211-218.