S. Abiteboul, P. Buneman, and D. Suciu, Data on the Web, 2000.
URL : https://hal.archives-ouvertes.fr/hal-00765560

R. Agrawal, T. Imielinski, and A. Swami, Mining association rules between sets of items in large database, Proceedings of the International Conference on Management of Data (ACM SIGMOD 93), pp.207-216, 1993.

R. Agrawal and R. Srikant, Fast algorithms for mining association rules, Proceedings of the 20th International Conference on Very Large Data Bases (VLDB 93), pp.12-15, 1994.

D. Arotaritei and S. Mitra, Web mining: a survey in the fuzzy framework, Fuzzy Sets and Systems, vol.148, pp.5-19, 2004.

T. Asai, K. Abe, S. Kawasoe, H. Arimura, and S. Arikawa, Efficient substructure discovery from large semi-structured data, Proceedings of the 2nd SIAM International Conference on Data Mining (SDM 02), 2002.

T. Asai, H. Arimura, K. Abe, S. Kawasoe, and S. Arikawa, Online algorithms for mining semi structured data stream, Proceedings of the IEEE International Conference on Data Mining (ICDM 02), pp.27-34, 2002.

T. Asai, H. Arimura, T. Uno, and S. Nakano, Discovering frequent substructures in large unordered trees, Proceedings of the 6th International Conference on Discovery Science, pp.47-61, 2003.

B. Bouchon, M. Rifqi, and S. Bothorel, Towards general measures of comparison of objects. Fuzzy Sets and Systems, vol.84, pp.143-153, 1996.
URL : https://hal.archives-ouvertes.fr/hal-01072162

P. Ceravolo and E. Damiani, Mining class hierarchies from XML data: Representation techniques, FUZZY DAYS, 2004.

P. Ceravolo, E. Damiani, and B. Oliboni, Fuzzy techniques for metadata construction, Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, pp.1019-1026, 2004.

P. Ceravolo, M. C. Nocerino, and M. Viviani, Knowledge extraction from semi-structured data based on fuzzy techniques, Proceedings of the 8th International Conference on Knowledge-Based Intelligent Information & Engineering Systems (KES 04), pp.328-334, 2004.

C. Y. Chung, M. Gertz, and N. Sundaresan, Reverse engineering for Web data: From visual to semantic structure, Proceedings of the 18th International Conference on Data Engineering (ICDE 02), pp.53-63, 2002.

D. Florescu, A. Levy, and A. Mendelzon, Database techniques for the world wide web: A survey, ACM SIGMOD Record, vol.27, issue.3, pp.59-74, 1998.

A. Halevy, Z. Ives, P. Mork, and I. Tatarinov, Piazza: data management infrastructure for semantic web applications, Proceedings of the 12th International World Wide Web Conference (WWW 03), pp.556-567, 2003.

A. Halevy, Z. Ives, D. Suciu, and I. Tatarinov, Schema mediation in peer data management systems, Proceedings of the 19th International Conference on Data Engineering (ICDE 03), pp.505-515, 2003.

P. Kilpelinen, Tree matching problems with applications to structured text databases, 1992.

G. J. Klir and T. A. Folger, Fuzzy Sets, Uncertainty, and Information, 1988.

L. J. Kohout, Defining homomorphisms and other generalized morphisms of fuzzy relations in monoidal fuzzy logics by means of bk-products, Proceedings of the 7th Joint Conference on Information Sciences (JCIS 03)(Subsection: 9th International Conference on Fuzzy Theory and Technology), p.13, 2003.

H. P. Leung, F. L. Chung, and S. C. Chan, On the use of hierarchical information in sequential mining-based XML document similarity computation, Knowledge and Information Systems, vol.7, issue.4, 2005.

S. K. Pal, V. Talwar, and P. Mitra, Web mining in soft computing framework: Relevance, state of the art and future directions, IEEE Transactions on Neural Networks, vol.13, issue.5, pp.1163-1177, 2002.

D. Parry, A fuzzy ontology for medical document retrieval, Proceedings of the 2nd Australasian Workshop on Data Mining and Web Intelligence (DMWI 04), pp.121-126, 2004.

A. Perchant and I. Bloch, Fuzzy morphisms between graphs. Fuzzy Sets and Systems, vol.128, pp.149-168, 2002.

I. Tatarinov, Z. Ives, J. Madhavan, A. Halevy, D. Suciu et al., The Piazza peer data management project, SIGMOD Record, vol.32, issue.3, pp.47-52, 2003.

A. Termier, Extraction of Frequent Trees in an Heterogeneous Corpus of Semi Structured data: Application to XML documents mining, 2004.

A. Termier, M. C. Rousset, and M. Sebag, TreeFinder: a first step towards XML data mining, Proceedings of the IEEE International Conference on Data Mining (ICDM 02), pp.450-457, 2002.

A. Termier, M. C. Rousset, and M. Sebag, Dryade: A new approach for discovering closed frequent trees in heterogeneous tree databases, Proceedings of the IEEE International Conference on Data Mining (ICDM 04), pp.543-546, 2004.

K. Wang and H. Liu, Discovering typical structures of documents: A road map approach, Proocedings of the 21 ACM SIGIR International Conference on Information Retrieval, pp.146-154, 1998.

K. Wang and H. Liu, Discovering structured association of semistructured data, IEEE Transactions on Knowledge and Data Engineering, vol.12, issue.3, pp.353-371, 2000.

Q. Y. Wang, J. X. Yu, and K. F. Wong, Approximate graph schema extraction for semi-structured data, Proceedings of the 7th International Conference on Extending Database Technology (EDBT 00), pp.302-316, 2000.

L. Xyleme, A dynamic warehouse for XML data of the web, IEEE Data Engineering Bulletin, vol.24, issue.2, pp.40-47, 2001.

R. Yager, Families of owa operators, Fuzzy Sets and Systems, vol.57, issue.3, pp.125-148, 1993.

X. Yan and J. Han, gSpan: Graph-based substructure pattern mining, Proceedings of the IEEE International Conference on Data Mining (ICDM 02), pp.721-724, 2002.

X. Yan and J. Han, CloseGraph: Mining closed frequent graph patterns, Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 03), pp.286-295, 2003.

M. Ying and B. Bouchon, Quantifiers, modifiers and qualifiers in fuzzy logic, Journal of Applied Non-classical Logics, vol.7, issue.3, pp.335-342, 1997.
URL : https://hal.archives-ouvertes.fr/hal-01184886

L. A. Zadeh, A computational approach to fuzzy quantifiers in natural languages, Computing and Mathematics with Applications, vol.9, issue.1, pp.149-184, 1983.

M. Zaki, Efficiently mining frequent trees in a forest, Proceedings of the 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 02), pp.386-395, 2002.

M. Zaki, Efficiently mining frequent embedded unordered trees, Fundamenta Informaticae, vol.65, pp.1-20, 2005.

M. J. Zaki and C. Aggarwal, Xrules: An effective structural classifier for XML data, Proceedings of the 9th International Conference on Knowledge Discovery and Data Mining (ACM SIGKDD 03), pp.316-325, 2003.