S. Agrawal, S. Chaudhuri, G. Das, and A. Gionis, Automated ranking of database query results proceedings, Proceedings of First Biennial Conference on Innovative Data Systems Research (CIDR), 2003.

X. Meng, Z. Ma, and L. Yan, Answering approximate queries over autonomous web databases, Proceedings of the 18th international conference on World wide web, WWW '09, 2009.
DOI : 10.1145/1526709.1526846

S. Amer-yahia and D. Srivastava, Tree Pattern Relaxation, Proceedings of EDBT02, pp.496-513, 2002.
DOI : 10.1007/3-540-45876-X_32

I. Muslea and T. J. Lee, query relaxation via bayesian causal structures discovery, Proceedings of the national conference of artificial intelligence (AAAI-05), pp.831-236, 2005.

U. Nambiar and S. Kambhampati, Answering imprecise database queries, Proceedings of the fifth ACM international workshop on Web information and data management , WIDM '03, 2003.
DOI : 10.1145/956699.956727

S. Moises and S. P. , Dealing with empty and overabundant answers to flexible queries, pp.12-18, 2014.

P. Bosc and O. Pivert, SQLf: a relational database language for fuzzy querying, Proceedings of IEEE Transaction on Fuzzy Systems, pp.1-17, 1995.
DOI : 10.1109/91.366566

P. Bosc, D. Dubois, O. Pivert, and H. Prade, Flexible queries in relational databases ??? The example of the division operator, Theoretical Computer Science, vol.171, issue.1-2, pp.281-302, 1997.
DOI : 10.1016/S0304-3975(96)00132-6

V. Tahani, A conceptual framework for fuzzy query processing???A step toward very intelligent database systems, Information Processing & Management, vol.13, issue.5, pp.289-303, 1977.
DOI : 10.1016/0306-4573(77)90018-8

O. Pivert, Contribution linterrogation flexible des bases de donnes : expression et valuation de requ?tes flous, 1991.

L. Zadeh, Fuzzy sets, pp.338-353, 1965.

A. Baeza-yates, A. R. , and -. Berthier, Modern Information Retrieval: the concepts and Technology behind search, 2011.

H. V. Chaudhuri, S. Das, and G. , Probabilistic Ranking of Database Query Results, Proceedings of the 30th VLDB Conference, 2004.
DOI : 10.1016/B978-012088469-8.50078-4

D. Hiemstra, A linguistically motivated probabilistic model of information retrievalg, Proc European Conference of Digital Library (ECDL98), 1998.

P. Bosc, A. Hadjali, and O. Pivert, Fuzzy sets and systems journal, 2008.

P. Bosc, L. Litard, O. Pivert, and D. Rocacher, Base de donnes, Gradualit et Imprcision dans les bases de donnes : Ensembles flous, requ?tes flexibles et interrogation de donnes mal connues, AEditions ellipses, 2004.

I. Muslea, Machine learning for online query relaxation, Proceedings of the 2004 ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '04, pp.246-255, 2004.
DOI : 10.1145/1014052.1014081

U. Nambiar and S. Kambhampati, Mining approximate funcitonal dependencies and concept similarities to answer imprecise queries, WebDB, 2004.
DOI : 10.1145/1017074.1017093

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.121.7029

M. Boughanem, W. Kraaij, and J. Nie, Modles de langue pour la recherche dinformations, dans Les systmes de recherche dinformations -Modles conceptuels, 2004.

J. Ponte, W. Bruce, and A. Crift, A language modeling approach to information retrieval, Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval , SIGIR '98, pp.275-281, 1998.
DOI : 10.1145/290941.291008

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.54.6410