P. Allard, S. Ferré, and O. Ridoux, Discovering functional dependencies and association rules by navigating in a lattice of OLAP views, Concept Lattices and Their Applications, pp.199-210, 2010.
URL : https://hal.archives-ouvertes.fr/inria-00549856

F. Baader, D. Calvanese, D. L. Mcguinness, and D. Nardi, The Description Logic Handbook: Theory, Implementation, and Applications, 2003.
DOI : 10.1017/CBO9780511711787

F. Baader and F. Distel, A Finite Basis for the Set of $\mathcal{EL}$ -Implications Holding in a Finite Model, Int. Conf. Formal Concept Analysis, pp.46-61, 2008.
DOI : 10.1007/978-3-540-78137-0_4

S. Ceri, G. Gottlob, and L. Tanca, What you always wanted to know about Datalog (and never dared to ask), IEEE Transactions on Knowledge and Data Engineering, vol.1, issue.1, pp.146-166, 1989.
DOI : 10.1109/69.43410

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.210.1118

M. Chein and M. L. Mugnier, Graph-based knowledge representation: computational foundations of conceptual graphs, Advanced Information and Knowledge Processing, 2008.
URL : https://hal.archives-ouvertes.fr/lirmm-00355336

S. Ferré, Conceptual Navigation in RDF Graphs with SPARQL-Like Queries, Int. Conf. Formal Concept Analysis, pp.193-208, 2010.
DOI : 10.1007/978-3-642-11928-6_14

S. Ferré and O. Ridoux, A logical generalization of formal concept analysis, Int. Conf. Conceptual Structures, pp.371-384, 2000.

S. Ferré and O. Ridoux, The Use of Associative Concepts in the Incremental Building of a Logical Context, ) Int. Conf. Conceptual Structures, pp.299-313, 2002.
DOI : 10.1007/3-540-45483-7_23

B. Ganter and S. Kuznetsov, Pattern Structures and Their Projections, Int. Conf. Conceptual Structures, pp.129-142, 2001.
DOI : 10.1007/3-540-44583-8_10

B. Ganter and R. Wille, Formal Concept Analysis ? Mathematical Foundations, 1999.

P. Hitzler, M. Krötzsch, and S. Rudolph, Foundations of Semantic Web Technologies, CRC, 2009.

J. Kötters, Concept Lattices of a Relational Structure, Int. Conf. Conceptual Structures for STEM Research and Education, pp.301-310, 2013.
DOI : 10.1007/978-3-642-35786-2_23

S. O. Kuznetsov and M. V. Samokhin, Learning Closed Sets of Labeled Graphs for Chemical Applications, Int. Conf. Inductive Logic Programming, pp.190-208, 2005.
DOI : 10.1007/11536314_12

S. Kuznetsov, Fitting Pattern Structures to Knowledge Discovery in Big Data, Int. Conf. Formal Concept Analysis, pp.254-266, 2013.
DOI : 10.1007/978-3-642-38317-5_17

S. Muggleton and L. D. Raedt, Inductive Logic Programming: Theory and methods, The Journal of Logic Programming, vol.19, issue.20, pp.629-679, 1994.
DOI : 10.1016/0743-1066(94)90035-3

URL : http://doi.org/10.1016/0743-1066(94)90035-3

M. Rouane-hacene, M. Huchard, A. Napoli, and P. Valtchev, Relational concept analysis: mining concept lattices from multi-relational data, Annals of Mathematics and Artificial Intelligence, vol.5, issue.1, pp.81-108, 2013.
DOI : 10.1007/s10472-012-9329-3

URL : https://hal.archives-ouvertes.fr/lirmm-00816300

M. Schmachtenberg, C. Bizer, and H. Paulheim, Adoption of the Linked Data Best Practices in Different Topical Domains, The Semantic Web (ISWC), pp.245-260, 2014.
DOI : 10.1007/978-3-319-11964-9_16

R. Wille, Conceptual graphs and formal concept analysis, Int. Conf. Conceptual Structures, pp.290-303, 1997.
DOI : 10.1007/BFb0027878

X. Yan and J. Han, CloseGraph, Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '03, pp.286-295, 2003.
DOI : 10.1145/956750.956784