M. Acosta, A. Zaveri, E. Simperl, D. Kontokostas, S. Auer et al., Crowdsourcing Linked Data Quality Assessment, Proceedings of the International Semantic Web Conference (ISWC), pp.260-276, 2013.
DOI : 10.1007/978-3-642-41338-4_17

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.634.5329

R. Angles, A Comparison of Current Graph Database Models, 2012 IEEE 28th International Conference on Data Engineering Workshops, pp.171-177, 2012.
DOI : 10.1109/ICDEW.2012.31

R. Angles and C. Gutierrez, Survey of graph database models, ACM Computing Surveys, vol.40, issue.1, pp.1-39, 2008.
DOI : 10.1145/1322432.1322433

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.110.1072

P. Barceló, erying graph databases, Proceedings of the ACM Symposium on Principles of Database Systems (PODS), pp.175-188, 2013.

P. Barceló, L. Libkin, and J. L. Reuuer, erying regular graph paaerns, J. ACM, vol.618, issue.1, pp.1-8, 2014.

C. Batini, C. Cappiello, C. Francalanci, and A. Maurino, Methodologies for data quality assessment and improvement, ACM Computing Surveys, vol.41, issue.3, p.41, 2009.
DOI : 10.1145/1541880.1541883

C. Batini and M. Scannapieco, Data and Information ality: Dimensions, Principles and Techniques, 2016.
DOI : 10.1007/978-3-319-24106-7_15

V. Besson, M. Gurrieri, P. Rigaux, and A. , Tacaille, and V. ion. A Methodology for ality Assessment in Collaborative Score Libraries, Proceedings of the International Society for Music Information Retrieval Conference (ISMIR), 2016.

J. Debaaista, M. Dekkers, C. Guéret, D. Lee, N. Mihindukulasooriya et al., Data on the web best practices: Data quality vocabulary, 2016.

D. Dominguez-sal, P. Urbón-bayes, A. Giménez-vã-nó, S. Gómez-villamor, N. Martínez-bazan et al., Survey of Graph Database Performance on the HPC Scalable Graph Analysis Benchmark, Proceedings of the International Conference on Web-Age Information Management (WAIM) Workshops, pp.37-48, 2010.
DOI : 10.1007/978-3-642-16720-1_4

V. Fionda and G. Pirro, erying graphs with preferences, Proceedings of the International Conference on Information and Knowledge Management (CIKM), pp.929-938, 2013.
DOI : 10.1145/2505515.2505758

R. Giugno and D. Shasha, GraphGrep: A fast and universal method for querying graphs, Object recognition supported by user interaction for service robots, pp.112-115, 2002.
DOI : 10.1109/ICPR.2002.1048250

D. Kontokostas, P. Westphal, S. Auer, S. Hellmann, J. Lehmann et al., Test-driven evaluation of linked data quality, Proceedings of the 23rd international conference on World wide web, WWW '14, pp.747-758, 2014.
DOI : 10.1145/2566486.2568002

J. Lee, W. Han, R. Kasperovics, and J. Lee, An in-depth comparison of subgraph isomorphism algorithms in graph databases, Proceedings of the Very Large Database Endowment (PVLDB), pp.133-144, 2012.
DOI : 10.14778/2535568.2448946

O. Pivert, O. Slama, and V. Ion, SPARQL extensions with preferences, Proceedings of the 31st Annual ACM Symposium on Applied Computing, SAC '16, pp.1015-1020, 2016.
DOI : 10.1007/11926078_44

URL : https://hal.archives-ouvertes.fr/hal-01235190

O. Pivert, G. Smits, and V. Ion, Expression and EEcient Processing of Fuzzy eries in a Graph Database Context, Proceedings of IEEE International Conference on Fuzzy Systems, 2015.

. Rabbithole, com/blog/rabbithole-the-neo4j-repl-console

K. Stefanidis, G. Koutrika, and E. Pitoura, A survey on representation, composition and application of preferences in database systems, ACM Transactions on Database Systems, vol.36, issue.3, pp.1-1945, 2011.
DOI : 10.1145/2000824.2000829

M. Y. Vardi, On the complexity of bounded-variable queries, Proceedings of the ACM Symposium on Principles of Database Systems (PODS), pp.266-276, 1995.

C. Vicknair, M. Macias, Z. Zhao, X. Nan, Y. Chen et al., A comparison of a graph database and a relational database, Proceedings of the 48th Annual Southeast Regional Conference on, ACM SE '10, p.42, 2010.
DOI : 10.1145/1900008.1900067

A. Zaveri, D. Kontokostas, M. A. Sherif, L. Bühmann, M. Morsey et al., User-driven quality evaluation of DBpedia, Proceedings of the 9th International Conference on Semantic Systems, I-SEMANTICS '13, pp.97-104, 2013.
DOI : 10.1145/2506182.2506195

A. Zaveri, A. Rula, A. Maurino, R. Pietrobon, J. Lehmann et al., ality assessment for linked data: A survey, Semantic Web, pp.63-93, 2016.
DOI : 10.3233/sw-150175