A. Passant, Technologies du web sémantique pour l'entreprise 2.0, 2009.

T. Berners-lee, J. Hendler, and O. Lassila, The Semantic Web, Scientific American, vol.284, issue.5, p.28, 2001.
DOI : 10.1038/scientificamerican0501-34

Y. Chabot, Langage d'ontologies web owl 2 vue d'ensemble (deuxième édition ) http ://yoan-chabot.fr/EspacePersonnel, Projet

C. Farid, Fouille de bases de données hétérogènes pour alimenter le web de données quel compromis entre qualité des données induites et robustesse des méthodes ?, IC 2009-23èmes journées francophones d'Ingénierie des Connaissances, 2012.

M. Hérigault, Moteur de recherche d'entreprise : déploiement du moteur sémantique exalead à la r&d de diagnostica stago, MEMOIRE pour Titre professionnel, CONSERVATOIRE NATIONAL DES ARTS ET, 2012.

I. Jilani and F. Amardeilh, Enrichissement automatique d'une base de connaissances biologiques à l'aide des outils du web sémantique, IC 2009-20èmes journées francophones d'Ingénierie des Connaissances, p.47, 2009.

M. Vernier and L. Monceaux, Enrichissement d'un lexique de termes subjectifs à partir de tests sémantiques, p.125, 2010.

S. Fatiha, Intégration sémantique de données guidée par une ontologie, 2007.

R. Parundekar, C. A. Knoblock, and J. L. Ambite, Linking and Building Ontologies of Linked Data, The Semantic Web?ISWC 2010, pp.598-614, 2010.
DOI : 10.1007/s007780100057

M. Baziz, N. Aussenac-gilles, and M. Boughanem, Exploitation des liens sémantiques pour l'expansion de requêtes dans un système de recherche d'information, INFORSID, pp.121-134, 2003.

H. Kleebe and Y. D. Blum, SiOC ceramic with high excess free carbon, Journal of the European Ceramic Society, vol.28, issue.5, p.1037, 2008.
DOI : 10.1016/j.jeurceramsoc.2007.09.024

T. O. Reilly, What is web 2.0 : Design patterns and business models for the next generation of software, Communications and Strategies, vol.65, p.17, 2007.

L. Audet, Wikis, blogues et web 2.0 : Opportunités et impacts pour la formation à distance, Le Réseau d'enseignement francophone à distance du Canada (REFAD), 2010.

F. Millerand, S. Proulx, and J. Rueff, Web social : mutation de la communication, 2010.

J. Richer, Essai de définition du blog comme genre de discours. Journées d'études : Les sites internet, Description et exploitation, 2006.

A. Degenne and M. Forsé, Les réseaux sociaux, 2004.

G. Cormode and B. Krishnamurthy, Key differences between Web 1.0 and Web 2.0, First Monday, vol.13, issue.6, 2008.
DOI : 10.5210/fm.v13i6.2125
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.145.3391

C. Sauvajol, Big data et infobésité

M. Guy and E. Tonkin, Tidying up tags, p.1082, 2006.

P. Mika, Ontologies are us : A unified model of social networks and semantics, The Semantic Web?ISWC 2005, pp.522-536, 2005.

B. Vickery, La classification décimale universelle et l'indexage de la documentation technique. Bulletin de l'Unesco à l'intention des bibliothèques 15, p.57, 1961.

M. Dewey and R. Couture-lafleur, Classification décimale de Dewey (Groupe lyonnais de classification, 1970.

E. Sutter, Pour une écologie de l'information, Documentaliste, vol.35, issue.83, 1998.

M. Baziz, M. Boughanem, and N. Nassr, La recherche d'information multilingue : désambiguisation et expansion de requêtes basées sur wordnet, International Symposium On Programming and Systems (ISPS 2003), pp.175-186, 2003.

A. Mouakher, M. Daoud, S. Yahia, . Fouille, and . De-donnees, Folkoviz : Visualisation sociosémantique de folksonomies, METHODOLOGIE ET EVALUATION p, p.51, 2012.

J. Caillouette, S. Garon, N. Dallaire, G. Boyer, and A. Ellyson, Étude de pratiques innovantes de développement des communautés dans les sept Centres de services de santé et de services sociaux de l'Estrie. Analyse transversale de sept études de cas, 2009.

T. O. Reilly, O'reilly spreading the knowledge of innovators, 2005.

J. Rogalski, Le travail collaboratif dans la réalisation des tâches collectives, pp.147-159, 2005.

C. Reffay and T. Chanier, How Social Network Analysis can help to Measure Cohesion in Collaborative Distance-Learning, Designing for change in networked learning environments, pp.343-352, 2003.
DOI : 10.1007/978-94-017-0195-2_42
URL : https://hal.archives-ouvertes.fr/edutice-00000422

J. Pinte, Vers des réseaux sociaux d'apprentissage en éducation. Les Cahiers Dynamiques pp, pp.82-86, 2010.
DOI : 10.3917/lcd.047.0082

M. Linard, Conception de dispositifs et changement de paradigme en formation. Éducation permanente pp, pp.143-155, 2002.
URL : https://hal.archives-ouvertes.fr/edutice-00000275

J. Roux, Socio-constructivisme et apprentissages scolaires, 2002.

D. H. Jonassen, Objectivism versus constructivism : Do we need a new philosophical paradigm ? Educational technology research and development 39, 1991.
DOI : 10.1007/bf02296434

F. W. Mandroux, L'apprentissage des langues à distance de l'ingénierie à la pédagogie, 2011.

V. De-poël and B. Lecomte, Mooc, révolution ? business ? opportunité ?, 2013.

A. Kavenoky and G. Touzot, La diffusion des technologies numériques dans la formation initiale et continue : Unit et utop. 21ème Congrès Francais de Mécanique, 2013.

B. Dorow and D. Widdows, Discovering corpus-specific word senses, Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics , EACL '03, pp.79-82, 2003.
DOI : 10.3115/1067737.1067753
URL : http://acl.ldc.upenn.edu/eacl2003/html/./papers/main/p8rns.pdf

A. L. Cabanac, Confrontation à la perception humaine de mesures de similarité entre membres d'un réseau social académique, Première conférence sur les Modèles et l'Analyse des Réseaux : Approches Mathématiques et Informatique, 2010.

S. Zhao, M. X. Zhou, Q. Yuan, X. Zhang, W. Zheng et al., Who is talking about what, Proceedings of the fourth ACM conference on Recommender systems, RecSys '10, pp.143-150, 2010.
DOI : 10.1145/1864708.1864737

D. Poirier, F. Fessant, C. Bothorel, E. G. De-neef, and M. Boullé, Approches statistique et linguistique pour la classification de textes d'opinion portant sur les films, 2009.
URL : https://hal.archives-ouvertes.fr/hal-00466412

M. Bank and J. Franke, Social Networks as Data Source for Recommendation Systems, pp.49-60, 2010.
DOI : 10.1007/978-3-642-15208-5_5

F. Carmagnola, F. Cena, L. Console, O. Cortassa, C. Gena et al., Tag-based user modeling for social multi-device adaptive guides, User Modeling and User-Adapted Interaction, vol.12, issue.1, p.497, 2008.
DOI : 10.1145/344949.344988
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.146.3668

M. Szomszor, H. Alani, I. Cantador, K. O. Hara, and N. Shadbolt, Semantic Modelling of User Interests Based on Cross-Folksonomy Analysis, The Semantic Web-ISWC, pp.632-648, 2008.
DOI : 10.1016/0010-0285(91)90016-H

Z. Zhang, C. Liu, Y. Zhang, and T. Zhou, Solving the cold-start problem in recommender systems with social tags, EPL (Europhysics Letters), vol.92, issue.2, p.28002, 2010.
DOI : 10.1209/0295-5075/92/28002

M. J. Barber, Modularity and community detection in bipartite networks, Physical Review E, vol.2005, issue.6, p.66102, 2007.
DOI : 10.1073/pnas.0605965104

T. Murata, Detecting communities from tripartite networks, Proceedings of the 19th international conference on World wide web, WWW '10, pp.1159-1160
DOI : 10.1145/1772690.1772853

K. Suzuki and K. Wakita, Extracting Multi-facet Community Structure from Bipartite Networks, 2009 International Conference on Computational Science and Engineering, pp.312-319, 2009.
DOI : 10.1109/CSE.2009.451

C. Bothorel, Analyse de réseaux sociaux et recommandation de contenus non populaires. Revue des nouvelles technologies de l'information (RNTI, 2011.

I. Esslimani, A. Brun, and A. Bayer, Behavioral similarities for collaborative recommendations, Journal of Digital Information Management, vol.6, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00337730

I. Esslimani, A. Brun, and A. Boyer, Enhancing collaborative filtering by frequent usage patterns, 2008 First International Conference on the Applications of Digital Information and Web Technologies (ICADIWT), pp.180-185, 2008.
DOI : 10.1109/ICADIWT.2008.4664341
URL : https://hal.archives-ouvertes.fr/hal-00337728

I. Esslimani, A. Brun, and A. Boyer, A collaborative filtering approach combining clustering and navigational based correlations, WEBIST, pp.364-369, 2009.
URL : https://hal.archives-ouvertes.fr/inria-00395573

I. Esslimani, A. Brun, and A. Boyer, From Social Networks to Behavioral Networks in Recommender Systems, 2009 International Conference on Advances in Social Network Analysis and Mining, pp.143-148, 2009.
DOI : 10.1109/ASONAM.2009.30
URL : https://hal.archives-ouvertes.fr/inria-00395679

I. Esslimani, A. Brun, and A. Boyer, Vers l'exploitation de la transitivité dans les réseaux comportementaux pour les systèmes de recommandations, Intelligence collective et organisation des connaissances, pp.7-2009, 2009.

I. Esslimani, A. Brun, and A. Boyer, Densifying a behavioral recommender system by social networks link prediction methods, Social Network Analysis and Mining, vol.21, issue.1, p.159, 2011.
DOI : 10.1093/bioinformatics/bti1012
URL : https://hal.archives-ouvertes.fr/inria-00430331

I. Esslimani, A. Brun, and A. Boyer, Detecting Leaders in Behavioral Networks, 2010 International Conference on Advances in Social Networks Analysis and Mining, pp.281-285
DOI : 10.1109/ASONAM.2010.72
URL : https://hal.archives-ouvertes.fr/inria-00581415

I. Esslimani, A. Brun, and A. Boyer, Detecting Leaders to Alleviate Latency in Recommender Systems, pp.229-240, 2010.
DOI : 10.1007/978-3-642-15208-5_21
URL : https://hal.archives-ouvertes.fr/inria-00581416

D. Le-thran, P. Cheung-mon-chan, and C. Bothorel, Conception et développement de fonctionnalités innovantes liées à facebook pour un système de recommandation, 2011.

J. Golbeck and J. Hendler, FilmTrust: movie recommendations using trust in web-based social networks, CCNC 2006. 2006 3rd IEEE Consumer Communications and Networking Conference, 2006., pp.282-286, 2006.
DOI : 10.1109/CCNC.2006.1593032

A. Mcneill, Trustedopinion. com offers netflix subscribers more relevant movie recommendations. at, 2007.

F. Carmagnola, F. Vernero, and P. Grillo, SoNARS: A Social Networks-Based Algorithm for Social Recommender Systems, User Modeling, Adaptation, and Personalization, pp.223-234, 2009.
DOI : 10.1007/978-3-642-02247-0_22

C. Ziegler and G. Lausen, Analyzing Correlation between Trust and User Similarity in Online Communities, Trust management, pp.251-265, 2004.
DOI : 10.1007/978-3-540-24747-0_19
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.84.2946

J. O. Donovan and B. Smyth, Trust in recommender systems, Proceedings of the 10th international conference on Intelligent user interfaces (ACM, 2005), pp.167-174

R. R. Sinha and K. Swearingen, Comparing recommendations made by online systems and friends, DELOS workshop : personalisation and recommender systems in digital libraries, 2001.

T. Olsson, Decentralised social filtering based on trust, proceedings of AAAI- 98 Recommender Systems Workshop, 1998.

M. Montaner, B. López, J. L. De, and R. , Opinion-Based Filtering through Trust, Cooperative Information Agents VI, pp.164-178, 2002.
DOI : 10.1007/3-540-45741-0_15
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.11.4939

J. Charlet, P. Laublet, and C. Reynaud, Web sémantique. rapport final de l'action spécifique 32, publié chez Cépadues (Hors-série de la collection Information interaction intelligence), 2003.

T. R. Gruber, Toward principles for the design of ontologies used for knowledge sharing ? International journal of human-computer studies 43, p.907, 1995.

M. F. López, A. Gómez-pérez, J. P. Sierra, and A. P. Sierra, Building a chemical ontology using Methontology and the Ontology Design Environment, IEEE Intelligent Systems, vol.14, issue.1, p.37, 1999.
DOI : 10.1109/5254.747904

A. Benayache, Construction d'une mémoire organisationnelle de formation et évaluation dans un contexte e-learning : le projet memorae, 2005.

F. Baader and U. Sattler, Description logics with aggregates and concrete domains, Information Systems, vol.28, issue.8, p.979, 2003.
DOI : 10.1016/S0306-4379(03)00003-6
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.36.3779

G. , D. Giacomo, and M. Lenzerini, Tbox and abox reasoning in expressive description logics, p.316, 1996.

S. J. Yang, Context aware ubiquitous learning environments for peer-to-peer collaborative learning, Educational Technology & Society, vol.9, p.188, 2006.

P. Lévy, L'intelligence collective : pour une anthropologie du cyberspace, 1994.

C. Cattuto, D. Benz, A. Hotho, and G. Stumme, Semantic Grounding of Tag Relatedness in Social Bookmarking Systems, 2008.
DOI : 10.1016/S0169-7552(98)00110-X

P. Mika, Ontologies are us : A unified model of social networks and semantics, The Semantic Web?ISWC 2005, pp.522-536, 2005.

V. Tanasescu and O. Streibel, Extreme tagging : Emergent semantics through the tagging of tags, ESOE, vol.292, issue.84, 2007.

B. Huynh-kim-bang and E. Dané, Social bookmarking et tags structurés, pp.111-122, 2008.

A. Monnin, F. Limpens, D. Laniado, and F. L. Gandon, L'ontologie nicetag : les tags en tant que graphes nommés. Actes de l'atelier «Web Social», 2010.

A. Passant and P. Laublet, Meaning of a tag : A collaborative approach to bridge the gap between tagging and linked data, LDOW, 2008.

L. Specia and E. Motta, Integrating Folksonomies with the Semantic Web, The semantic web : research and applications, pp.624-639, 2007.
DOI : 10.1007/978-3-540-72667-8_44

T. Gruber, Ontology of Folksonomy, International Journal on Semantic Web and Information Systems, vol.3, issue.1, 2007.
DOI : 10.4018/jswis.2007010101

M. Buffa, F. Gandon, G. Ereteo, P. Sander, and C. Faron, Sweetwiki : A semantic wiki, Web Semantics : Science, Services and Agents on the World Wide Web, vol.6, issue.84, 2008.
DOI : 10.1016/j.websem.2007.11.003
URL : https://hal.archives-ouvertes.fr/hal-01154473

H. Halpin, V. Robu, and H. Shepherd, The complex dynamics of collaborative tagging, Proceedings of the 16th international conference on World Wide Web , WWW '07, pp.211-220, 2007.
DOI : 10.1145/1242572.1242602

A. Sallaberry, N. Pecheur, S. Bringay, M. Roche, and M. Teisseire, Sequential patterns mining and gene sequence visualization to discover novelty from microarray data, Journal of Biomedical Informatics, vol.44, issue.5, p.760, 2011.
DOI : 10.1016/j.jbi.2011.04.002
URL : https://hal.archives-ouvertes.fr/hal-00625539

F. Limpens, F. L. Gandon, and M. Buffa, Un cycle de vie complet pour l'enrichissement sémantique des folksonomies, Proc. 11eme Conférence Internationale Francophone sur l'Extraction et la Gestion des Connaissances EGC 2011, pp.1-12, 2011.

R. T. Osguthorpe and C. R. Graham, Blended learning environments : Definitions and directions, Quarterly Review of Distance Education, vol.4, p.227, 2003.

C. Raby, T. Karsenti, H. Meunier, and S. Villeneuve, Usage des tic en pédagogie universitaire : point de vue des étudiants. Revue internationale des technologies en pépdagogie universitaire, International Journal of Technologies in Higher Education, vol.8, issue.6, 2011.
DOI : 10.7202/1006396ar
URL : http://doi.org/10.7202/1006396ar

M. Dagnaud, Génération Y : les jeunes et les réseaux sociaux, de la dérision Ã la subversion, CDE, 2013.

S. Huang and J. Shiu, A user-centric adaptive learning system for elearning 2.0, Journal of Educational Technology & Society, vol.15, 2012.

C. Costello, Elgg 1.8 social networking, 2012.

S. Charmonman, R. Thirakomen, and P. Mongkhonvanit, Success stories of using social network in elearning. Special Issue of the, International Journal of the Computer, the Internet and Management, vol.19, 2012.

S. Tavales and S. Skevoulis, Podcasts : Changing the face of e-learning, Software Engineering Research and Practice, pp.721-726, 2006.

A. Anjomshoaa, K. V. Sao, A. M. Tjoa, E. Weippl, and M. Hollauf, Context Oriented Analysis of Web 2.0 Social Network Contents - MindMeister Use-Case, Intelligent Information and Database Systems, pp.180-189, 2010.
DOI : 10.1007/978-3-642-12145-6_19

K. P. Brady, L. B. Holcomb, and B. V. Smith, The use of alternative social networking sites in higher educational settings : A case study of the e-learning benefits of ning in education, Journal of Interactive Online Learning, vol.9, 2010.

J. Breslin, U. Bojars, A. Passant, S. Fernandez, and S. Decker, Sioc : Content exchange and semantic interoperability between social networks, 2009.

R. Burke, Hybrid recommender systems : Survey and experiments. User modeling and user-adapted interaction 12, p.331, 2002.

M. J. Pazzani and D. Billsus, Content-Based Recommendation Systems, The adaptive web, pp.325-341, 2007.
DOI : 10.1007/978-3-540-72079-9_10
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.130.8327

C. Berrut and N. Denos, Filtrage collaboratif. Assistance intelligente à la recherche d, p.30, 2003.
URL : https://hal.archives-ouvertes.fr/hal-00953997

R. Burke, Hybrid recommender systems : Survey and experiments. User modeling and user-adapted interaction 12, p.331, 2002.

T. Liang, H. Lai, and Y. Ku, Personalized Content Recommendation and User Satisfaction: Theoretical Synthesis and Empirical Findings, Journal of Management Information Systems, vol.23, issue.3, p.45, 2006.
DOI : 10.2753/MIS0742-1222230303

A. Shepitsen, J. Gemmell, B. Mobasher, and R. Burke, Personalized recommendation in social tagging systems using hierarchical clustering, Proceedings of the 2008 ACM conference on Recommender systems, RecSys '08, pp.259-266, 2008.
DOI : 10.1145/1454008.1454048
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.146.5429

. Mathieu, Systéme de recommandation podcast science 83/les algorithmes de recommandation. http ://www.podcastscience.fm/dossiers, 2012.

M. Balabanovi´cbalabanovi´c and Y. Shoham, Fab: content-based, collaborative recommendation, Communications of the ACM, vol.40, issue.3, p.66, 1997.
DOI : 10.1145/245108.245124

P. Resnick, N. Iacovou, M. Suchak, P. Bergstrom, and J. , GroupLens, Proceedings of the 1994 ACM conference on Computer supported cooperative work , CSCW '94, pp.175-186, 1994.
DOI : 10.1145/192844.192905

R. Hunt, Percent Agreement, Pearson's Correlation, and Kappa as Measures of Inter-examiner Reliability, Journal of Dental Research, vol.65, issue.2, p.128, 1986.
DOI : 10.1177/00220345860650020701

D. T. Larose, k-nearest neighbor algorithm. Discovering Knowledge in Data : An Introduction to Data Mining pp, pp.90-106, 2005.

D. Zhang and P. Bao, Denoising by spatial correlation thresholding. Circuits and Systems for Video Technology, IEEE Transactions on, vol.13, p.535, 2003.

B. Sarwar, G. Karypis, J. Konstan, and J. , Item-based collaborative filtering recommendation algorithms, Proceedings of the tenth international conference on World Wide Web , WWW '01, pp.285-295, 2001.
DOI : 10.1145/371920.372071
URL : http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.29.340&rep=rep1&type=pdf

P. Lops, M. De-gemmis, and G. Semeraro, Content-based Recommender Systems: State of the Art and Trends, Recommender systems handbook, pp.73-105, 2011.
DOI : 10.1007/978-0-387-85820-3_3

J. J. Rocchio, Relevance feedback in information retrieval, 1971.

N. Béchet, Etat de l'art sur les systemes de recommandation

G. Adomavicius and A. Tuzhilin, Toward the next generation of recommender systems : A survey of the state-of-the-art and possible extensions. Knowledge and Data Engineering, IEEE Transactions on, vol.17, p.734, 2005.

P. Brusilovsky, A. Kobsa, and W. Nejdl, The adaptive web : methods and strategies of web personalization, 2007.
DOI : 10.1007/978-3-540-72079-9

D. Goldberg, D. Nichols, B. M. Oki, and D. Terry, Using collaborative filtering to weave an information tapestry, Communications of the ACM, vol.35, issue.12, p.61, 1992.
DOI : 10.1145/138859.138867
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.104.3739

D. Py, Quelques méthodes d'intelligence artificielle pour la modélisation de l'élève, Sciences et techniques éducatives, vol.5, 1998.

V. Dimitrova, G. Mccalla, and S. Bull, open learner models : Future research directions" special issue of the ijaied (part 2), International Journal of Artificial Intelligence in Education, vol.17, p.217, 2007.

P. Mendelsohn and P. Dillenbourg, Le développement de l'enseignement intelligemment assisté par ordinateur, Symposium Intelligence Naturelle et Intelligence Artificielle, 1991.

W. Wahlster and A. Kobsa, Dialogue-based user models, Proceedings of the IEEE, vol.74, issue.7, p.948, 1986.
DOI : 10.1109/PROC.1986.13574

F. and F. Inc, Draft standard for learning technology. public and private information (papi) for learners (papi learner), 2000.

I. Lip, Ims learner information package specification, 2008.

I. Rdceo, Ims reusable definition of competency or educational objective (rdceo ) IMS GLC : Competencies Specification, 2002.

I. G. Consortium, Ims eportfolio specification, 2006.

L. Oubahssi and M. Grandbastien, From learner information packages to student models : Which continuum ? In Intelligent Tutoring Systems, pp.288-297, 2006.

L. Oubahssi, Conception de plates-formes logicielles pour la formation à distance , présentant des propriétés d'adaptabilité à différentes catégories d'usagers et d'interopérabilité avec d'autres environnements logiciels, 2005.

R. Zghibi, S. Zghidi, and O. Chater, Les normes e-learning comme garant de qualité de l'enseignement à distance dans le contexte éducatif tunisien : le cas de l'uvt, Frantice. net, 2012.

A. Behaz and M. Djoudi, Approche de modélisation d'un apprenant à base d'ontologie pour un hypermédia adaptatif pédagogique, CIIA, 2009.

A. Baghli, Diag-k : Ontologie pour l'élaboration du modèle de connaissances de l, 2012.

O. Sanjuan-martinez, B. C. G-bustelo, R. G. Crespo, and E. T. Franco, Using recommendation system for e-learning environments at degree level, International Journal of Interactive Multimedia and Artificial Intelligence, vol.1, 2009.

V. Butoianu, O. Catteau, P. Vidal, and J. Broisin, Un systéme à base de traces pour la recherche personnalisée d'objets pédagogiques

L. Berkani, A. Chikh, and O. Nouali, Recommandation personnalisée des ressources dans une communauté de pratique de e-learning. une approche à base de filtrage hybride, INFORSID (2013), pp.131-138

R. Zouag, Filtrage collaboratif des objets pédagogiques, 2014.

C. Chen, H. Lee, and Y. Chen, Personalized e-learning system using Item Response Theory, Computers & Education, vol.44, issue.3, p.237, 2005.
DOI : 10.1016/j.compedu.2004.01.006
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.96.1875

A. Kla?nja-mili´cevi´cmili´cevi´mili´cevi´c, B. Vesin, M. Ivanovi´civanovi´c, and Z. Budimac, E-Learning personalization based on hybrid recommendation strategy and learning style identification, Computers & Education, vol.56, issue.3, p.885, 2011.
DOI : 10.1016/j.compedu.2010.11.001

A. Belhabib and M. A. Matahri, Conception d'un système de recommandation pour un réseau sociale d'apprentissage, 2014.

A. Purandare and T. Pedersen, Discriminating among word meanings by identifying similar contexts, AAAI, pp.964-965, 2004.

J. Ramos, Using tf-idf to determine word relevance in document queries, Proceedings of the first instructional conference on machine learning, 2003.

G. Varelas, E. Voutsakis, P. Raftopoulou, E. G. Petrakis, and E. E. Milios, Semantic similarity methods in wordNet and their application to information retrieval on the web, Proceedings of the seventh ACM international workshop on Web information and data management , WIDM '05, pp.10-16
DOI : 10.1145/1097047.1097051

V. N. Gudivada, V. V. Raghavan, W. I. Grosky, and R. Kasanagottu, Information retrieval on the World Wide Web, IEEE Internet Computing, vol.1, issue.5, pp.58-68, 1997.
DOI : 10.1109/4236.623969

C. D. Manning, P. Raghavan, and H. Schütze, Introduction to information retrieval, 2008.
DOI : 10.1017/CBO9780511809071

Y. Matsuo and M. Ishizuka, KEYWORD EXTRACTION FROM A SINGLE DOCUMENT USING WORD CO-OCCURRENCE STATISTICAL INFORMATION, International Journal on Artificial Intelligence Tools, vol.59, issue.01, p.157, 2004.
DOI : 10.1016/S0306-4573(96)00068-4

S. Patwardhan, S. Banerjee, and T. Pedersen, Using Measures of Semantic Relatedness for Word Sense Disambiguation, Computational linguistics and intelligent text processing, pp.241-257, 2003.
DOI : 10.1007/3-540-36456-0_24

S. Banerjee and T. Pedersen, An Adapted Lesk Algorithm for Word Sense Disambiguation Using WordNet, Computational linguistics and intelligent text processing, pp.136-145, 2002.
DOI : 10.1007/3-540-45715-1_11
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.118.8359

M. Lesk, Information in data: using the Oxford English dictionary on a computer, ACM SIGIR Forum, vol.20, issue.1-4, pp.18-21, 1986.
DOI : 10.1145/15497.15502

A. Budanitsky and G. Hirst, Evaluating WordNet-based Measures of Lexical Semantic Relatedness, Computational Linguistics, vol.17, issue.1, p.13, 2006.
DOI : 10.1016/S0022-5371(79)90604-2

S. Khuller, S. G. Mitchell, and V. V. Vazirani, On-line algorithms for weighted bipartite matching and stable marriages, Theoretical Computer Science, vol.127, issue.2, p.255, 1994.
DOI : 10.1016/0304-3975(94)90042-6

H. W. Kuhn, The Hungarian method for the assignment problem, Naval Research Logistics Quarterly, vol.3, issue.1-2, p.83, 1955.
DOI : 10.2140/pjm.1953.3.369

S. Brohee and J. Van-helden, Evaluation of clustering algorithms for proteinprotein interaction networks, BMC Bioinformatics, vol.7, issue.1, p.488, 2006.
DOI : 10.1186/1471-2105-7-488

A. J. Enright, S. Van-dongen, and C. A. Ouzounis, An efficient algorithm for large-scale detection of protein families, Nucleic Acids Research, vol.30, issue.7, p.1575, 2002.
DOI : 10.1093/nar/30.7.1575

F. Murtagh, A Survey of Recent Advances in Hierarchical Clustering Algorithms, The Computer Journal, vol.26, issue.4, p.354, 1983.
DOI : 10.1093/comjnl/26.4.354

Y. Zhao and G. Karypis, Evaluation of hierarchical clustering algorithms for document datasets, Proceedings of the eleventh international conference on Information and knowledge management , CIKM '02, pp.515-524, 2002.
DOI : 10.1145/584792.584877

T. Abeel and Y. , Van de Peer and Y. Saeys. Java-ml : A machine learning library, The Journal of Machine Learning Research, vol.10, p.931, 2009.

M. Burset and R. Guigo, Evaluation of Gene Structure Prediction Programs, Genomics, vol.34, issue.3, 1996.
DOI : 10.1006/geno.1996.0298

K. I. Ghauth and N. A. Abdullah, Building an E-learning Recommender System Using Vector Space Model and Good Learners Average Rating, 2009 Ninth IEEE International Conference on Advanced Learning Technologies, pp.194-196, 2009.
DOI : 10.1109/ICALT.2009.161
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.471.8460

R. Lara, D. Olmedilla, S. Arroyo, H. Lausen, D. Roman et al., A semantic web services framework for distributed e-learning environments, Informe técnico, p.3, 2004.

M. W. Chughtai, A. Selamat, I. Ghani, and J. J. Jung, Retracted: E-Learning Recommender Systems Based on Goal-Based Hybrid Filtering, International Journal of Distributed Sensor Networks, vol.36, issue.2, p.2014, 2014.
DOI : 10.1016/j.eswa.2007.12.018
URL : http://doi.org/10.1155/2014/912130

A. Zapata, V. H. Menéndez, M. E. Prieto, and C. Romero, Evaluation and selection of group recommendation strategies for collaborative searching of learning objects, International Journal of Human-Computer Studies, vol.76, p.22, 2015.
DOI : 10.1016/j.ijhcs.2014.12.002

R. Zouag, Filtrage collaboratif des objets pédagogiques, 2014.

H. Schütze, Automatic word sense discrimination, Computational linguistics, vol.24, issue.97, 1998.

C. Benzitoun, E. Campione, J. Deulofeu, S. Henry, F. Sabio et al., L'analyse syntaxique de l'oral : problèmes et méthodes. In journée d'étude :" méthodes et outils pour l'évaluation des analyseurs syntaxiques" ; organisée par l'Association, pp.1-8, 2004.

N. Ide and J. Véronis, Introduction to the special issue on word sense disambiguation : the state of the art, Computational linguistics, vol.24, issue.2, 1998.

C. E. Shannon and W. Weaver, The mathematical theory of information, 1949.

W. A. Gale, K. W. Church, and D. Yarowsky, A method for disambiguating word senses in a large corpus, Computers and the Humanities, vol.9, issue.5-6, p.415, 1992.
DOI : 10.1007/BF00136984

A. Tchechmedjiev, Etat de l'art mesures de similarité sémantique locales et algorithmes globaux pour la désambiguisation lexicale à base de connaissances, Actes de la conférence conjointe JEP-TALNRECITAL (2012), pp.295-308

D. Yarowsky, Unsupervised word sense disambiguation rivaling supervised methods, Proceedings of the 33rd annual meeting on Association for Computational Linguistics -, pp.189-196, 1995.
DOI : 10.3115/981658.981684
URL : http://acl.ldc.upenn.edu/P/P95/P95-1026.pdf

J. Preiss and M. Stevenson, Introduction to the special issue on word sense disambiguation, Computer Speech & Language, vol.18, issue.3, 2004.
DOI : 10.1016/j.csl.2004.05.005

S. L. Small, Word expert parsing, Proceedings of the 17th annual meeting on Association for Computational Linguistics -, 1980.
DOI : 10.3115/982163.982167

K. Dahlgren, Naive semantics for natural language understanding, 1988.
DOI : 10.1007/978-1-4613-1075-4

F. Vasilescu and P. Langlais, Désambiguisation de corpus monolingues par des approches de type lesk, 2003.

A. Kilgarriff and J. Rosenzweig, English senseval : Report and results, LREC, 2000.

A. Propos-de-moodle, https ://docs.moodle.org/2x, pp.21-27

M. Bruynooghe, Classification ascendante hiérarchique des grands ensembles de données : un algorithme rapide fondé sur la construction des voisinages réductibles, 1978.

P. L. Salam and V. Valmas, Etude comparative des compétences développées dans deux formations hybrides de tuteurs en ligne : interactions à distance en asynchrone pour l'une et en synchrone pour l'autre, Actes du colloque Epal 2009 (Echanger pour apprendre en ligne : conception, instrumentation, interactions , multimodalité), université Stendhal -Grenoble, 2009.

A. Mounia, From e-learning to e-learning 2.0 : What impact on the quality of learning, The Journal of Quality in Education, p.12, 2012.

L. Audet, Wikis, blogues et web 2.0 : Opportunités et impacts pour la formation à distance, Le Réseau d'enseignement francophone à distance du Canada (REFAD), 2010.

T. Murata and S. Moriyasu, Link Prediction based on Structural Properties of Online Social Networks, New Generation Computing, vol.7, issue.2, p.245, 2008.
DOI : 10.1007/s00354-008-0043-y

C. Bothorel, Analyse de réseaux sociaux et recommandation de contenus non populaires. Revue des nouvelles technologies de l'information (RNTI, 2011.

C. Bizer, T. Heath, D. Ayers, and Y. Raimond, Interlinking open data on the web, Demonstrations Track, 4th European Semantic Web Conference, 2007.

]. S. Hart, Apprentissage formel, informel, non-formel, des notions difficiles a utiliser... pourquoi ? L'OBSERVATOIRE COMPETENCES- EMPLOIS sur la formation continue et le développement des compétences, p.23

D. Poirier, Des textes communautaires à la recommandation, 2011.
URL : https://hal.archives-ouvertes.fr/tel-00597422

D. Brickley and L. Miller, Foaf vocabulary specification 0.98, Namespace Document, vol.9, 2012.

M. Lefevre and S. Jean-daubias, Intégration de données hétérogènes : un exemple pour la constitution de profils d'apprenants. Intégration Technologique et Nouvelles Perspectives, p.147, 2012.

M. A. Hearst, Automatic acquisition of hyponyms from large text corpora, Proceedings of the 14th conference on Computational linguistics -, pp.539-545, 1992.
DOI : 10.3115/992133.992154

H. Suryanto and P. Compton, Discovery of ontologies from knowledge bases, Proceedings of the international conference on Knowledge capture , K-CAP 2001, pp.171-178, 2001.
DOI : 10.1145/500737.500764

A. Delteil, C. Faron-zucker, and R. Dieng, Learning ontologies from rdf annotations, Workshop on Ontology Learning, 2001.

G. Modica, A. Gal, and H. M. , The Use of Machine-Generated Ontologies in Dynamic Information Seeking, Cooperative Information Systems, pp.433-447, 2001.
DOI : 10.1007/3-540-44751-2_32

N. Stojanovic, L. Stojanovic, and R. Volz, A Reverse Engineering Approach for Migrating Data-Intensive Web Sites to the Semantic Web, Intelligent Information Processing, pp.141-154, 2002.
DOI : 10.1007/978-0-387-35602-0_13

V. Kashyap, Design and creation of ontologies for environmental information retrieval, Proceedings of the 12th Workshop on Knowledge Acquisition, Modeling and Management (Citeseer, pp.1-18, 1999.

J. Rebeyrolle, Utilisation de contextes définitoires pour l'acquisition de connaissances à partir de textes. Actes Journées Francophones d'Ingénierie de la Connaissance IC', pp.105-114, 2000.

A. Maedche and S. Staab, The text-to-onto ontology learning environment, Software Demonstration at ICCS-2000-Eight International Conference on Conceptual Structures, 2000.

A. Mikheev and S. Finch, A workbench for finding structure in texts, Proceedings of the fifth conference on Applied natural language processing -, pp.372-379, 1997.
DOI : 10.3115/974557.974611

I. H. Witten, G. W. Paynter, E. Frank, C. Gutwin, and C. G. Nevill-manning, KEA, Proceedings of the fourth ACM conference on Digital libraries , DL '99, pp.254-255, 1999.
DOI : 10.1145/313238.313437

F. Xu, D. Kurz, J. Piskorski, and S. Schmeier, A domain adaptive approach to automatic acquisition of domain relevant terms and their relations with bootstrapping, LREC, 2002.

C. A. Thompson and R. J. Mooney, Semantic lexicon acquisition for learning parsers, 1997.

K. M. Gupta, D. W. Aha, E. Marsh, and T. Maney, An architecture for engineering sublanguage wordnets, Proceedings of the First International Conference On Global WordNet, pp.207-215, 2002.

I. H. Witten, G. W. Paynter, E. Frank, C. Gutwin, and C. G. Nevill-manning, KEA, Proceedings of the fourth ACM conference on Digital libraries , DL '99, pp.254-255, 1999.
DOI : 10.1145/313238.313437

A. Gal, G. Modica, and H. Jamil, OntoBuilder: fully automatic extraction and consolidation of ontologies from Web sources, Proceedings. 20th International Conference on Data Engineering, p.853, 2004.
DOI : 10.1109/ICDE.2004.1320082

A. Oliveira, F. C. Pereira, and A. Cardoso, Automatic reading and learning from text, Proceedings of the International Symposium on Artificial Intelligence (ISAI) (Citeseer, 2001.

E. Alfonseca and S. Manandhar, An unsupervised method for general named entity recognition and automated concept discovery, Proceedings of the 1st International Conference on General WordNet, pp.34-43, 2002.

P. Velardi, R. Navigli, A. Cucchiarelli, and F. Neri, Evaluation of ontolearn, a methodology for automatic learning of domain ontologies, Ontology Learning and Population, 2005.

B. Bachimont, A. Isaac, and R. Troncy, Semantic Commitment for Designing Ontologies: A Proposal, Knowledge Engineering and Knowledge Management : Ontologies and the Semantic Web, pp.114-121, 2002.
DOI : 10.1007/3-540-45810-7_14
URL : https://hal.archives-ouvertes.fr/hal-00922313

S. Wu and W. Hsu, SOAT, Proceedings of the 19th international conference on Computational linguistics -, pp.1-5, 2002.
DOI : 10.3115/1071884.1071897

D. Faure and T. Poibeau, First experiments of using semantic knowledge learned by asium for information extraction task using intex, Proceedings of the ECAI2000 Ontology Learning Workshop (Citeseer, 2000.

G. Bisson, C. Nédellec, and D. Canamero, Designing clustering methods for ontology building-the mo'k workbench, ECAI workshop on ontology learning, 2000.

G. De-chaelandar and B. Grau, Svetlan-a system to classify words in context, ECAI Workshop on Ontology Learning, 2000.

B. Biebow, S. Szulman, and A. J. Clément, TERMINAE: A Linguistics-Based Tool for the Building of a Domain Ontology, In Knowledge Acquisition, Modeling and Management, pp.49-66, 1999.
DOI : 10.1007/3-540-48775-1_4

D. Faure, C. Nédellec, and C. , Acquisition of semantic knowledge using machine learning methods : The system" asium, 1998.

L. Karoui, M. Aufaure, and N. Bennacer, Extraction contextuelle de concepts ontologiques pour le web sémantique, Actes de la conférence (Citeseer, 2007.

I. Bedini and B. Nguyen, Automatic ontology generation : State of the art, PRiSM Laboratory Technical Report. University of Versailles, 2007.

C. Romero, S. Ventura, and E. Garcia, Data mining in course management systems: Moodle case study and tutorial, Computers & Education, vol.51, issue.1, p.368, 2008.
DOI : 10.1016/j.compedu.2007.05.016