Biblio

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M
J. C. Dos-Reis, Dinh, D., Pruski, C., Da Silveira, M., and Reynaud, C., Mapping adaptation actions for the automatic reconciliation of dynamic ontologies, in CIKM, 2013, pp. 599-608.
C. Meghini, Doerr, M., and Spyratos, N., Managing Co-reference Knowledge for Data Integration, in European-Japanese Conference on Information Modelling and Knowledge Bases (EJC), 2008, pp. 224-244.
M. - A. Baazizi, Bidoit, N., and Colazzo, D., Maintenance efficace de documents XML volumineux, in 27èmes journées Bases de Données Avancées (BDA), Rabat, Morocco, 2011.
J. C. Dos-Reis, Maintaining Mappings Valid between Dynamic KOS, in Proc. of the 10th Extended Semantic Web Conference (ESWC), Montpellier, France, 2013, vol. 7882, pp. 650-655.
L
L. Simon, Logique propositionnelle : un langage simple, des problèmes complexes, Université Paris Sud, 2010.
L. Papaleo, Pernelle, N., Sais, F., and Dumont, C., Logical Detection of Invalid SameAs Statements in RDF Data, in Knowledge Engineering and Knowledge Management - 19th International Conference, {EKAW} 2014, Linköping, Sweden, November 24-28, 2014, pp. 373–384.
F. Sais, Niraula, N., Pernelle, N., and Rousset, M. - C., LN2R a knowledge based reference reconciliation system: OAEI 2010 Results, in Proc. of Ontology Matching Workshop (OM), Shanghai China, 2010.
J. Camacho-Rodriguez, Katsifodimos, A., Manolescu, I., and Roatis, A., LiquidXML: Adaptive XML Content Redistribution, in Actes des Journées Bases de Données Avancées (BDA), Toulouse France, 2010.
J. Camacho-Rodriguez, Katsifodimos, A., Manolescu, I., and Roatis, A., LiquidXML: Adaptive XML Content Redistribution, in ACM International Conference on Information and Knowledge Management, Toronto, Canada, 2010.
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.
F. Sais, Thomopoulos, R., and Ioanna, G., Linked Data Annotation and Fusion driven by Data Quality Evaluation, in Extraction et Gestion des Connaissances (EGC), Luxembourg, Luxembourg, 2015.
G. Ghelli, Colazzo, D., and Sartiani, C., Linear Time Membership for a Class of XML Types with Interleaving and Counting, in PLAN-X, Programming Language Technologies for XML, An ACM SIGPLAN Workshop colocated with POPL, 2008.
D. Colazzo, Ghelli, G., Pardini, L., and Sartiani, C., Linear inclusion for XML regular expression types, in ACM Conference on Information and Knowledge Management, 2009, pp. 137-146.
S. Domingos Cardoso, Pruski, C., Da Silveira, M., Ying-Chi, L., Anika, G., Erhard, R., and Reynaud, C., Leveraging the impact of ontology evolution on semantic annotations, in {Knowledge Engineering and Knowledge Management - 20th International Conference, EKAW }, Bologna, Italy, 2016.
N. Aussenac-Gilles, Charlet, J., and Reynaud, C., Les enjeux de l'Ingénierie des connaissances, in Information, Interaction, Intelligence - Le point sur le i(3), F. Sedes, Ogier, J. M., and Marquis, P., Eds. Cepadues, 2012.
V. Christen, Ying-Chi, L., Anika, G., Cardoso, S. Domingos, Pruski, C., Da Silveira, M., and Erhard, R., A learning-based approach to combine medical annotation results, in DILS 2018 LNBI 11371, Hannover, Germany, 2018.
G. Katsirelos and Simon, L., Learning Polynomials over GF(2) in a SAT Solver, in Proc. of International Conference on Theory and Applications of Satisfiability Testing (SAT), Trento, Italie, 2012.
N. Pernelle and Sais, F., LDM: Link Discovery Method for new Resource Integration, in Proc. of International Workshop on Resource Discovery, Heraklion, Greece, 2011, vol. vol 737, pp. 94-108.
F. Hamdi, Reynaud, C., and Safar, B., L'approche TaxoMap Framework et son application au raffinement de mappings, in Actes de la Conférence Francophone sur la Reconnaissance des Formes et l'Intelligence Artificielle (RFIA), Caen France, 2010.
C. Reynaud, La richesse d'une ontologie géographique pour l'intégration et l'indexation. 2012.
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.

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