[. Abel, Q. Gao, G. Houben, and K. Tao, Semantic enrichment of twitter posts for user profile construction on the social web semantic web conference on The semantic web: research and applications -Volume Part II, Proceedings of the 8th extended, pp.375-389, 2011.

M. Agm-+-11-]-julien-aligon, P. Golfarelli, S. Marcel, E. Rizzi, and . Turricchia, Mining preferences from OLAP query logs for proactive personalization, Proceedings of the 15th international conference on Advances in databases and information systems, pp.84-97, 2011.

G. Amato and U. Straccia, User Profile Modeling and Applications to Digital Libraries, Proceedings of the Third European Conference on Research and Advanced Technology for Digital Libraries, ECDL '99, pp.184-197, 1999.
DOI : 10.1007/3-540-48155-9_13

D. D. Blecic, N. S. Bangalore, J. L. Dorsch, C. L. Henderson, M. H. Koenig et al., Using Transaction Log Analysis to Improve OPAC Retrieval Results, College & Research Libraries, vol.59, issue.1, pp.39-50, 1998.
DOI : 10.5860/crl.59.1.39

C. [. Baeza-yates and . Castillo, Relating web characteristics with link based web page ranking, Proceedings Eighth Symposium on String Processing and Information Retrieval, pp.21-32, 2001.
DOI : 10.1109/SPIRE.2001.989734

E. Backer and A. K. Jain, A Clustering Performance Measure Based on Fuzzy Set Decomposition, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.3, issue.1, pp.66-75, 1981.
DOI : 10.1109/TPAMI.1981.4767051

K. D. Bollacker, S. Lawrence, and C. Giles, A system for automatic personalized tracking of scientific literature on the Web, Proceedings of the fourth ACM conference on Digital libraries , DL '99, pp.105-113, 1999.
DOI : 10.1145/313238.313270

J. Bian, X. Li, F. Li, Z. Zheng, and H. Zha, Ranking specialization for web search, Proceedings of the 19th international conference on World wide web, WWW '10, pp.131-140, 2010.
DOI : 10.1145/1772690.1772705

Y. [. Bollegala, M. Matsuo, and . Ishizuka, A Web Search Engine-Based Approach to Measure Semantic Similarity between Words, IEEE Transactions on Knowledge and Data Engineering, vol.23, issue.7, pp.977-990, 2011.
DOI : 10.1109/TKDE.2010.172

J. J. Carroll, Matching RDF Graphs, The Semantic Web ? ISWC 2002, number 2342 in Lecture Notes in Computer Science, pp.5-15, 2002.
DOI : 10.1007/3-540-48005-6_3

[. Chuang and L. Chien, Towards automatic generation of query taxonomy: A hierarchical query clustering approach, Proceedings of the 2002 IEEE International Conference on Data Mining, ICDM '02, pp.75-82, 2002.

[. Chen and K. Chen, Balancing workload based on content types for scalable web server clusters, 18th International 144

M. J. Carman, F. Crestani, M. Harvey, and M. Baillie, Towards query log based personalization using topic models, Proceedings of the 19th ACM international conference on Information and knowledge management, CIKM '10, pp.1849-1852, 2010.
DOI : 10.1145/1871437.1871745

[. Chau, X. Fang, O. R. Liu, and . Sheng, Analysis of the query logs of a Web site search engine, Journal of the American Society for Information Science and Technology, vol.52, issue.13, pp.1363-1376, 2005.
DOI : 10.1002/asi.20210

L. David, D. W. Davies, and . Bouldin, A cluster separation measure, IEEE Trans. Pattern Anal. Mach. Intell, vol.1, issue.2, pp.224-227, 1979.

M. M. , D. , and E. Deza, Encyclopedia of distances, Encyclopedia of Distances, pp.1-583, 2009.

]. D. Def77 and . Defays, An efficient algorithm for a complete link method, The Computer Journal, vol.20, issue.4, pp.364-366, 1977.

[. Degemmis, P. Lops, G. Semeraro, and F. Abbattista, Extraction of User Profiles by Discovering Preferences through Machine Learning, Intelligent Information Processing and Web Mining, IIS'03 of Advances in Soft Computing, pp.69-78, 2003.
DOI : 10.1007/978-3-540-36562-4_7

[. Ester, H. Kriegel, J. Sander, and X. Xu, A density-based algorithm for discovering clusters in large spatial databases with noise, Second International Conference on Knowledge Discovery and Data Mining, pp.226-231, 1996.

M. [. Fink and . Herrmann, KN-PART: ein verwaltungssystem zur benutzermodellierung mit prädikatenlogischer wissensrepräsentation, p.145

G. Fischer, User modeling in Human-Computer interaction, User Modeling and User-Adapted Interaction, vol.11, issue.1/2, pp.65-86, 2001.
DOI : 10.1023/A:1011145532042

J. Fink and A. Kobsa, User modeling for personalized city tours, Artificial Intelligence Review, vol.18, issue.1, pp.33-74, 2002.
DOI : 10.1023/A:1016383418977

C. Fellbaum and G. Miller, WordNet: An Electronic Lexical Database, 1998.

L. Michael, D. E. Fredman, and . Willard, Trans-dichotomous algorithms for minimum spanning trees and shortest paths, J. Comput. Syst. Sci, vol.48, issue.3, pp.533-551, 1994.

A. [. Godoy and . Amandi, Modeling user interests by conceptual clustering, Information Systems, vol.31, issue.4-5, pp.247-265, 2006.
DOI : 10.1016/j.is.2005.02.008
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.60.6057

[. Giles, K. D. Bollacker, and S. Lawrence, CiteSeer, Proceedings of the third ACM conference on Digital libraries , DL '98, pp.89-98, 1998.
DOI : 10.1145/276675.276685

A. Bernard, M. J. Galler, and . Fisher, An improved equivalence algorithm, Commun. ACM, vol.7, issue.5, pp.301-303, 1964.

J. Gantz and D. Reinsel, Extracting value from chaos, 2011.

[. Guha, R. Rastogi, and K. Shim, CURE: an efficient clustering algorithm for large databases, Proceedings of the 1998 ACM SIGMOD international conference on Management of data, SIGMOD '98, pp.73-84, 1998.

[. Gauch, M. Speretta, A. Chandramouli, and A. Micarelli, User Profiles for Personalized Information Access, pp.54-89, 2007.
DOI : 10.1007/978-3-540-72079-9_2

[. Hafri, C. Djeraba, P. Stanchev, and B. Bachimont, A Markovian Approach for Web User Profiling and Clustering
DOI : 10.1007/3-540-36175-8_19

J. Huang, J. Gao, J. Miao, X. Li, K. Wang et al., Exploring web scale language models for search query processing, Proceedings of the 19th international conference on World wide web, WWW '10, pp.451-460, 2010.
DOI : 10.1145/1772690.1772737

[. Hinneburg, E. Hinneburg, and D. A. Keim, An efficient approach to clustering in large multimedia databases with noise, pp.58-65, 1998.

P. Hansen and B. Jaumard, Cluster analysis and mathematical programming, Mathematical Programming, vol.15, issue.2, pp.191-215, 1997.
DOI : 10.1007/BF02614317

G. Hirst and D. St-onge, Lexical Chains as Representations of Context for the Detection and Correction of Malapropisms, WordNet: An electronic lexical database., chapter 13, pp.305-332, 1998.

J. Hartigan and M. Wong, Algorithm AS 136: A K-Means Clustering Algorithm, Applied Statistics, vol.28, issue.1, pp.100-108, 1979.
DOI : 10.2307/2346830

J. Bernard and . Jansen, Search log analysis: What it is, what's been done, how to do it, Library & Information Science Research, vol.28, issue.3, pp.407-432, 2006.

J. Bernard and . Jansen, Investigating the relevance of sponsored results for web ecommerce queries, Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval, SIGIR '07, pp.857-858, 2007.

J. Jay, D. W. Jiang, and . Conrath, An information-theoretic definition of similarity, Proceedings of International Conference Research on Computational Linguistics, 1997.

J. Bernard, G. Jansen, M. Campbell, and . Gregg, Real time search user behavior, CHI '10 Extended Abstracts on Human Factors in Computing Systems, CHI EA '10, pp.3961-3966, 2010.

K. Anil, R. C. Jain, and . Dubes, Algorithms for clustering data

[. Joachims, D. Freitag, and T. Mitchell, WebWatcher: a tour guide for the world wide web, Proceedings of the fifteenth International joint Conference on Artificial Intelligence, pp.770-775, 1997.

R. Hyoung, P. K. Kim, and . Chan, Learning implicit user interest hierarchy for context in personalization, Proceedings of the 8th international conference on Intelligent user interfaces, IUI '03, pp.101-108, 2003.

E. [. Karypis, V. Han, and . Kumar, Chameleon: hierarchical clustering using dynamic modeling, Computer, vol.32, issue.8, pp.68-75, 1999.
DOI : 10.1109/2.781637

A. Kobsa, Generic User Modeling Systems, User Modeling and User-Adapted Interaction, vol.11, issue.12, pp.49-63, 2001.
DOI : 10.1007/978-3-540-72079-9_4

A. Kobsa and W. Pohl, The user modeling shell system BGP-MS. User Modeling and User-Adapted Interaction, pp.59-106, 1994.

[. Kaufman and P. Rousseeuw, Clustering by means of medoids In Statistical Data Analysis Based on the L1-Norm and Related Methods, pp.405-416, 1987.

J. Kleinberg and É. Tardos, Algorithm design. Pearson, 2006.

M. Kurth, The limits and limitations of transaction log analysis, Library Hi Tech, vol.11, issue.2, pp.98-104, 1993.
DOI : 10.1108/eb047888

G. N. Lewis, N. J. Boynton, and F. W. Burton, Expected complexity of fast search with uniformly distributed data, Information Processing Letters, vol.13, issue.1, pp.4-7, 1981.
DOI : 10.1016/0020-0190(81)90140-X

[. Limam, L. Brunie, D. Coquil, and H. Kosch, Query Log Analysis for User-Centric Multimedia Databases, the 8th International Conference on New Media Technology (I-Media'08), pp.441-444, 2008.

C. Leacock and M. Chodorow, Combining Local Context and WordNet Similarity for Word Sense Identification, WordNet: An electronic lexical database., chapter 13, pp.265-283, 1998.

[. Limam, D. Coquil, H. Kosch, and L. Brunie, Extracting User Interests from Search Query Logs: A Clustering Approach, 2010 Workshops on Database and Expert Systems Applications, 2010.
DOI : 10.1109/DEXA.2010.23
URL : https://hal.archives-ouvertes.fr/hal-01381483

D. Lin, An information-theoretic definition of similarity, Proceedings of the 15th International Conference on Machine Learning , ICML '98, pp.296-304, 1998.

[. Lucchese, S. Orlando, R. Perego, and F. Silvestri, Mining Query Logs to Optimize Index Partitioning in Parallel Web Search Engines, Proceedings of the 2nd International ICST Conference on Scalable Information Systems, pp.1-43, 2007.
DOI : 10.4108/infoscale.2007.227

L. Ulrike-von, Statistical learning with similarity and dissim- 149

T. Mayer, D. Coquil, L. Limam, F. Stegmaier, M. Döller et al., Live-Ticker Supported Sports-Video Annotation Enabling Tactic Analysis, 11th International Workshop of the Multimedia Metadata Community, pp.53-56, 2010.
URL : https://hal.archives-ouvertes.fr/hal-01381482

[. Magnini and C. Strapparava, User Modelling for News Web Sites with Word Sense Based Techniques, User Modeling and User-Adapted Interaction, vol.14, issue.2/3, pp.239-257, 2004.
DOI : 10.1023/B:USER.0000028980.13669.44

E. Stuart, N. Middleton, D. Shadbolt, and . De-roure, Ontological user profiling in recommender systems, ACM Transactions on Information Systems (TOIS), vol.22, issue.1, pp.54-88, 2004.

[. Navigli, Word sense disambiguation, ACM Computing Surveys, vol.41, issue.2, pp.1-1069, 2009.
DOI : 10.1145/1459352.1459355

[. Perrault and J. F. Allen, A plan-based analysis of indirect speech acts, Comput. Linguist, vol.6, issue.3-4, pp.167-182, 1980.

[. Perrault, J. F. Allen, and P. R. Cohen, Speech acts as a basis for understanding dialogue coherence, Proceedings of the 1978 workshop on Theoretical issues in natural language processing -, pp.125-132, 1978.
DOI : 10.3115/980262.980282

[. Pazzani, D. Billsus, S. Michalski, and J. Wnek, Learning and revising user profiles: The identification of interesting web sites, Machine Learning, pp.313-331, 1997.

[. Pass, A. Chowdhury, and C. Torgeson, A picture of search, Proceedings of the 1st international conference on Scalable information systems , InfoScale '06, 2006.
DOI : 10.1145/1146847.1146848

G. Pirró, A semantic similarity metric combining features and intrinsic information content, Data & Knowledge Engineering, vol.68, issue.11, pp.1289-1308, 2009.
DOI : 10.1016/j.datak.2009.06.008

L. [. Phippen, S. Sheppard, and . Furnell, A practical evaluation of Web analytics, Internet Research, vol.14, issue.4, pp.284-293, 2004.
DOI : 10.1108/10662240410555306

A. Ratnaparkhi, A maximum entropy model for part-of-speech tagging, Proceedings of the Empirical Methods in Natural Language Processing, pp.133-142, 1996.

P. Resnik, Using information content to evaluate semantic similarity in a taxonomy, Proceedings of the 14th International Joint Conference on Artificial Intelligence, IJCAI'95, pp.448-453, 1995.

E. Rich, User Modeling via Stereotypes*, Cognitive Science, vol.84, issue.4, pp.329-354, 1979.
DOI : 10.1207/s15516709cog0304_3

C. [. Royer and . Toh, A review of current routing protocols for ad hoc mobile wireless networks, IEEE Personal Communications, vol.6, issue.2, pp.46-55, 1999.
DOI : 10.1109/98.760423

G. [. Saruladha, S. Aghila, and . Raj, A Survey of Semantic Similarity Methods for Ontology Based Information Retrieval, 2010 Second International Conference on Machine Learning and Computing, pp.297-301, 2010.
DOI : 10.1109/ICMLC.2010.63

[. Singh, J. Sarabdeep, C. Duffy, and . Watters, An adaptive user profile for filtering news based on a user interest hierarchy, Proceedings of the American Society for Information Science and Technology, pp.1-21, 2006.
DOI : 10.1002/meet.1450430154

K. Hamid and . Seifoddini, Single linkage versus average linkage clustering in machine cells formation applications, Computers & Industrial Engineering, vol.16, issue.3, pp.419-426, 1989.

J. Sander, M. Ester, H. Kriegel, and X. Xu, Density-based clustering in spatial databases: The algorithm GDB- SCAN and its applications, Data Mining and Knowledge Discovery, vol.2, issue.2, pp.169-194, 1998.
DOI : 10.1023/A:1009745219419

H. M. Gribble and . Levy, An analysis of internet content delivery systems, SIGOPS Oper. Syst. Rev, vol.36, issue.SI, pp.315-327, 2002.

]. R. Sib73 and . Sibson, SLINK: an optimally efficient algorithm for the singlelink cluster method, The Computer Journal, vol.16, issue.1, pp.30-34, 1973.

M. Fabian, G. Suchanek, G. Kasneci, and . Weikum, Yago: a core of semantic knowledge, Proceedings of the 16th international conference on World Wide Web, WWW '07, pp.697-706, 2007.

]. D. Sle85 and . Sleeman, UMFE: a user modelling front-end subsystem, International Journal of Man-Machine Studies, vol.23, issue.1, pp.71-88, 1985.

A. Sieg, B. Mobasher, and R. D. Burke, Learning ontology-based user profiles: A semantic approach to personalized web search, IEEE Intelligent Informatics Bulletin, pp.7-18, 2007.

[. Silverstein, H. Marais, M. Henzinger, and M. Moricz, Analysis of a very large web search engine query log, ACM SIGIR Forum, vol.33, issue.1, pp.6-12, 1999.
DOI : 10.1145/331403.331405

S. Stamou and A. Ntoulas, Search personalization through query and page topical analysis, User Modeling and User-Adapted Interaction, vol.25, issue.1, pp.5-33, 2009.
DOI : 10.1007/s11257-008-9056-y

M. Stephen and . Stigler, Francis galton's account of the invention of correlation, Statistical Science, vol.4, issue.2, pp.73-79, 1989.

[. Shen, B. Tan, and C. Zhai, Implicit user modeling for personalized search, Proceedings of the 14th ACM international conference on Information and knowledge management , CIKM '05, 2005.
DOI : 10.1145/1099554.1099747

A. Spink, D. Wolfram, B. J. Major, T. Jansen, and . Saracevic, Searching the web: The public and their queries, Journal of the American Society for Information Science and Technology, vol.28, issue.3, pp.226-234, 2001.
DOI : 10.1002/1097-4571(2000)9999:9999<::AID-ASI1591>3.0.CO;2-R

[. Schickel-zuber and B. Faltings, Oss: A semantic similarity function based on hierarchical ontologies, Proceedings of the 20th International Joint Conference on Artifical Intelligence, IJCAI'07, pp.551-556, 2007.

[. Toutanova, D. Klein, C. D. Manning, and Y. Singer, Feature-rich part-of-speech tagging with a cyclic dependency network, Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology , NAACL '03, pp.173-180, 2003.
DOI : 10.3115/1073445.1073478

[. Torbey, Increasing Data Availability in Mobile Ad-hoc Networks: A Community-Centric and Resource-Aware Replication Approach, 2012.
URL : https://hal.archives-ouvertes.fr/tel-00879755

A. Tversky, Features of similarity., Psychological Review, vol.84, issue.4, pp.327-352, 1977.
DOI : 10.1037/0033-295X.84.4.327

[. Tran and L. Zhang, Keyword query routing, IEEE Transactions on Knowledge and Data Engineering, vol.26, issue.2, pp.363-375, 2014.

[. Vallet, I. Cantador, and J. M. Jose, Personalizing Web Search with Folksonomy-Based User and Document Profiles, Proceedings of the 32nd European conference on Advances in Information Retrieval, pp.420-431, 2010.
DOI : 10.1007/978-3-642-12275-0_37
URL : http://hdl.handle.net/10486/665075

M. Viviani, L. Limam, N. Bennani, E. Egyed-zsigmond, and D. Coquil, Multi-application personalization: Data propagation evaluation on a real-life search query log, 2012 6th IEEE International Conference on Digital Ecosystems and Technologies (DEST), pp.1-6, 2012.
DOI : 10.1109/DEST.2012.6227917
URL : https://hal.archives-ouvertes.fr/hal-01352989

J. Wen, J. Nie, and H. Zhang, Query clustering using user logs, ACM Transactions on Information Systems, vol.20, issue.1, pp.59-81, 2002.
DOI : 10.1145/503104.503108

[. Wu and M. Palmer, Verbs semantics and lexical selection, Proceedings of the 32nd annual meeting on Association for Computational Linguistics -, pp.133-138, 1994.
DOI : 10.3115/981732.981751

R. Xu, D. Wunsch, and I. , Survey of Clustering Algorithms, IEEE Transactions on Neural Networks, vol.16, issue.3, pp.645-678, 2005.
DOI : 10.1109/TNN.2005.845141

[. Yang, S. Calabretto, and L. Brunie, Centrality-based peer rewiring in semantic overlay networks (S), IEEE International Conference on Research Challenges in Information Science, pp.1-6, 2013.
URL : https://hal.archives-ouvertes.fr/hal-01339241

[. Zhang and O. Nasraoui, Mining search engine query logs for social filtering-based query recommendation, Applied Soft Computing, vol.8, issue.4, pp.1326-1334, 2008.
DOI : 10.1016/j.asoc.2007.11.004

S. [. Zargayouna and . Salotti, Mesure de similarité sémantique pour l'indexation de documents semi-structurés, 12ème Atelier de Raisonnement à Partir de Cas, 2004.