Z. Abedjan, Profiling and mining RDF data with ProLOD++, 2014 IEEE 30th International Conference on Data Engineering, pp.1198-1201
DOI : 10.1109/ICDE.2014.6816740

A. Elham-akbari, Efficient OLAP operations for RDF analytics

D. Bleco and Y. Kotidis, Entropy-based Selection of Graph Cuboids, Proceedings of the Fifth International Workshop on Graph Data-management Experiences & Systems , GRADES'17
DOI : 10.1145/1989323.1989413

C. Böhm, Profiling linked open data with ProLOD, 2010 IEEE 26th International Conference on Data Engineering Workshops (ICDEW 2010), pp.175-178, 2010.
DOI : 10.1109/ICDEW.2010.5452762

D. Colazzo, RDF analytics, Proceedings of the 23rd international conference on World wide web, WWW '14
DOI : 10.1145/2566486.2567982
URL : https://hal.archives-ouvertes.fr/hal-00960609

S. Colton, A. Bundy, and T. Walsh, On the notion of interestingness in automated mathematical discovery, International Journal of Human-Computer Studies, vol.53, issue.3, pp.351-375, 2000.
DOI : 10.1006/ijhc.2000.0394

K. Dimitriadou, O. Papaemmanouil, and Y. Diao, AIDE: An Active Learning-Based Approach for Interactive Data Exploration, IEEE Transactions on Knowledge and Data Engineering, vol.28, issue.11, pp.2842-2856, 2016.
DOI : 10.1109/TKDE.2016.2599168

C. David, O. Faye, G. Curé, and . Blin, A survey of RDF storage approaches, Revue Africaine de la Recherche en Informatique et Mathématiques Appliquées, pp.11-35, 2012.

Y. Guo, Z. Pan, and J. Heflin, LUBM: A benchmark for OWL knowledge base systems, Web Semantics: Science, Services and Agents on the World Wide Web, vol.3, issue.2-3, pp.2-3, 2005.
DOI : 10.1016/j.websem.2005.06.005
URL : http://www.cse.lehigh.edu/~heflin/courses/sw-2010/lubm-wsj-final.pdf

K. Amit, P. Joshi, G. Hitzler, and . Dong, Logical linked data compression, 2013.

S. Khatchadourian, P. Mariano, and . Consens, Understanding billions of triples with usage summaries, Semantic Web Challenge, 2011.

F. Naumann, Data profiling revisited, ACM SIGMOD Record, vol.42, issue.4, pp.40-49, 2014.
DOI : 10.1145/2590989.2590995
URL : http://www.hpi.uni-potsdam.de/fileadmin/hpi/FG_Naumann/publications/2013/profiling_vision.pdf

E. Prud-'hommeaux and A. Seaborne, SPARQL Query Language for RDF. W3C Recommendation, 2008.

B. Tang, Extracting Top-K Insights from Multi-dimensional Data, Proceedings of the 2017 ACM International Conference on Management of Data , SIGMOD '17
DOI : 10.1145/1376616.1376627

M. Vartak, DB, Proceedings of the VLDB Endowment, vol.8, issue.13, 2015.
DOI : 10.14778/2831360.2831371