*. Node, 8 :59 :308 :59 :328 :59 :378 :59 :50" "Fl018 :59 :52" "Fl019 :0 :8" "Fl019 :0 :15" "Fl01TapeColdWaterWashbasin9 :0 :19" "Fl01TapeColdWaterWashbasin9 :0 :25" "Fl019 :1 :29" "02169 :1 :34" "51019 :1 :349 :1 :379 :1 :389 :1 :38" "01139 :1 :40" "01139 :1 :409 :1 :429 :1 :469 :1 :489 :1 :51" "Fl03InfraredLockerB1Infrared, p.24470210

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

A. Ward, A. Jones, and A. Hopper, A new location technique for the active office, IEEE Personal Communications, vol.4, issue.5, pp.42-47, 1997.
DOI : 10.1109/98.626982

K. Ahmed and . Alasoud, A Multi-Matching Technique for Combining Similarity Measures in Ontology Integration, 2009.

J. F. Allen, Towards a general theory of action and time, Artificial Intelligence, vol.23, issue.2, pp.123-154, 1984.
DOI : 10.1016/0004-3702(84)90008-0

J. F. Allen, Temporal Reasoning and Planning, Proceedings of the 2nd International Conference on Principles of Knowledge Representation and Reasoning, pp.3-14, 1991.
DOI : 10.1016/B978-1-55860-137-6.50007-8

L. Truong-binh-an, L. Young-koo, and . Sung-young, Modeling and reasoning about uncertainty in context-aware systems, IEEE International Conference on e-Business Engineering (ICEBE'05), pp.102-109, 2005.
DOI : 10.1109/ICEBE.2005.90

B. Andrey, Z. Arkady, and S. Kåre, Extending context spaces theory by predicting run-time context, Proceedings of the 9th International Conference on Smart Spaces and Next Generation Wi- 194 red/Wireless Networking and Second Conference on Smart Spaces, pp.8-21, 2009.

T. A. Arentze, F. Hofman, and H. J. Timmermans, Deriving rules from activity diary data: A learning algorithm and results of computer experiments, Journal of Geographical Systems, vol.3, issue.4, pp.325-346, 2001.
DOI : 10.1007/s101090100069

M. Arevalillo-herráez, J. Domingo, and F. J. Ferri, Combining similarity measures in content-based image retrieval, Pattern Recognition Letters, vol.29, issue.16, pp.2174-2181, 2008.
DOI : 10.1016/j.patrec.2008.08.003

P. Ariel, K. Shriram, and P. Michael, Adapting content for wireless web services, IEEE Internet Computing, vol.7, issue.5, pp.79-85, 2003.

B. Schilit, N. Adams, and R. Want, Context-aware computing applications, IEEE Workshop on Mobile Computing Systems and Applications, pp.85-90, 1899.
DOI : 10.1109/mcsa.1994.512740

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.29.5833

M. Baldauf, S. Dustdar, and F. Rosenberg, A survey on context-aware systems, International Journal of Ad Hoc and Ubiquitous Computing, vol.2, issue.4, pp.263-277, 2007.
DOI : 10.1504/IJAHUC.2007.014070

Y. Benazzouz, P. Beaune, F. Ramaparany, and O. Boissier, Modeling and Storage of Context Data for Service Adaptation, Enabling Context-Aware Web Services : Methods, Architectures, and Technologies, pp.470-490
DOI : 10.1201/EBK1439809853-c17

M. Beth, Retail user assistant : Evaluation of a user-adapted performance support system, Proceedings of the 4th International Conference on Human-Computer Interaction, pp.45-55, 1994.

A. Bhusate and J. Pitt, Pervasive adaptation for enhancing quality of experience, Proceedings of the 2nd Perada Workshop on Pervasive Adaptation, pp.3-8, 2009.

A. Bikakis, T. Patkos, G. Antoniou, and D. Plexousakis, A Survey of Semantics-Based Approaches for Context Reasoning in Ambient Intelligence, Proceedings of the Workshop of Artificial Intelligence Methods for Ambient Intelligence at the European Conference on Ambient Intelligence, pp.15-24, 2007.
DOI : 10.1007/978-3-540-85379-4_3

L. Mark and . Blum, Real-time Context Recognition, 2005.

O. Brdiczka, J. L. Crowley, and P. Reignier, Learning Situation Models for Providing Context-Aware Services, Proceedings of the 4th International Conference on Universal Access in Human-Computer Interaction, pp.23-32
DOI : 10.1007/978-3-540-73281-5_3

URL : https://hal.archives-ouvertes.fr/inria-00352944

J. Peter and . Brown, The stick-e document : A framework for creating contextaware applications, Proceedings of the International Conference on Electronic Publishing and Document Manipulation, pp.259-272, 1995.

J. Peter, . Brown, J. F. Gareth, and . Jones, Exploiting contextual change in context-aware retrieval, Proceedings of the ACM symposium on Applied Computing, pp.650-656, 2002.

P. Brézillon, O. Bucur, P. Beaune, and O. Boissier, Hors du contexte, point de salut What is context and how can an agent learn to find and use it when making decisions, Objets Communicants Proceedings of the 4th International Central and Eastern European Conference on Multi-Agent Systems, pp.112-121, 2002.

C. Hayes, P. Massa, P. Avesani, and P. Cunningham, An on-line evaluation framework for recommender systems, Proceedings of the Workshop on Personalization and Recommendation in E-Commerce, 2002.

S. C. Johnson, Hierarchical clustering schemes, Psychometrika, vol.58, issue.4, pp.241-254, 1967.
DOI : 10.1007/BF02289588

L. Candillier, Contextualisation, visualisation et évaluation en apprentissage non supervisé, 2006.

S. Ceri, F. Daniel, M. Matera, and F. M. Facca, Model-driven development of context-aware Web applications, ACM Transactions on Internet Technology, vol.7, issue.1, pp.1-32, 2007.
DOI : 10.1145/1189740.1189742

T. Chaari, E. Dejene, F. Laforest, and V. Scuturici, Modeling and Using Context in Adapting Applications to Pervasive Environments, 2006 ACS/IEEE International Conference on Pervasive Services, 2006.
DOI : 10.1109/PERSER.2006.1652214

URL : https://hal.archives-ouvertes.fr/hal-01514631

T. Chaari, M. Zouari, and F. Laforest, Ontology based context-aware adaptation approach In Book of Context-Aware Mobile and Ubiquitous Computing for Enhanced Usability : Adaptive Technologies and Applications Information science reference, pp.26-58, 2009.

H. Chen, An Intelligent Broker Architecture for Pervasive Context- Aware Systems, 2004.

B. Chikhaoui, Y. Benazzouz, and B. Abdulrazak, Towards a universal ontology for smart environments, Proceedings of the 11th International Conference on Information Integration and Web-based Applications & Services, iiWAS '09, 2009.
DOI : 10.1145/1806338.1806361

B. Christopher and O. Kieron, Editorial : Knowledge representation with ontologies : Present challenges-future possibilities, International Journal of Human Computer Studies, vol.65, issue.7, pp.563-568, 2007.

B. Claudio, B. Oliver, H. Karen, I. Jadwiga, N. Daniela et al., A survey of context modelling and reasoning techniques, Pervasive Mobile Computing, vol.6, issue.2, pp.161-180, 2010.

R. Coffin, Create scalable semantic applications with database-backed rdf stores, store your rdf triples in a database for faster performance and greater scalability, 2007.

W. W. Cohen, P. Ravikumar, and S. E. Fienberg, A comparison of string distance metrics for name-matching tasks, American Association for Artificial Intelligence, 2003.

R. Cooley, P. Tan, and J. Srivastava, Websift : The web site information filter system, Proceedings of Workshop on Web Usage Analysis and User Profiling WEBKDD in conjunction with ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2009.

. Costa, Architectural support for context-aware applications : From context models to services platforms The Netherlands, 2007.

M. Cremene, M. Riveill, and C. Martel, Towards unanticipated dynamic service adaptation, Proceedings of the Third International Workshop on Coordination and Adaptation Techniques for Software Entities (in conjunction with ECOOP'06), pp.25-34, 2006.

B. Cristiana, C. Carlo, A. , Q. Elisa, S. Fabio et al., A data-oriented survey of context models, ACM SIG- MOD, vol.36, issue.4, pp.19-26, 2007.

D. Ejigu and D. , Context Modeling and Collaborative Context-Aware Services for Pervasive Computing, National Institute of Applied Sciences, 2007.

K. Anind and . Dey, Understanding and using context. Personal Ubiquitous Computing, pp.4-7, 2001.

K. Anind, G. D. Dey, D. Abowd, and . Salber, A conceptual framework and a toolkit for supporting the rapid prototyping of context-aware applications. Human-Computer Interaction, pp.97-166, 2001.

S. Dietze, A. Gugliotta, and J. Domingue, Bridging the gap between mobile application contexts and semantic web resources In Book of Context-Aware Mobile and Ubiquitous Computing for Enhanced Usability : Adaptive Technologies and Applications Information science reference, pp.217-234, 2009.

E. Meshkova, J. Riihijarvi, P. Mahonen, and C. Kavadias, Modeling the home environment using ontology with applications in software configura- 199

. Howard, A dynamic approach to dealing with user preferences in a pervasive system, Proceedings of the 2008 IEEE International Symposium on Parallel and Distributed Processing with Applications, pp.409-416, 2008.

J. Euzenat, J. Pierson, and F. Ramparany, Dynamic context management for pervasive applications, The Knowledge Engineering Review, vol.1, issue.01, pp.21-49, 2008.
DOI : 10.1007/s007790170019

URL : https://hal.archives-ouvertes.fr/hal-00793541

F. Bry, T. Hattori, K. Hiramatsu, T. Okadome, C. Wieser et al., Context modeling in owl for smart building services, Proceedings of the GI-WorkshopíuberWorkshop´Workshopíuber Grundlagen von Datenbanken, W ´ lorlitz, pp.38-42

F. Ciunchiglia, Contextual reasoning. epistemologia, Proceedings IJ- CAI'93 Workshop on Using Knowledge in its Context, pp.345-364, 1993.

F. Fessant, V. Lemaire, and F. Clérot, Combining Several SOM Approaches in Data Mining: Application to ADSL Customer Behaviours Analysis, Proceedings of studies in Classification, Data Analysis, and Knowledge Organization, pp.343-354, 2007.
DOI : 10.1007/978-3-540-78246-9_41

L. Fabien and . Gandon, Graphes RDF et leur Manipulation pour la Gestion de Connaissances, 2008.

A. Giovanni, L. Vincenzo, N. Michele, and R. Stefano, Ambient intelligence framework for context aware adaptive appli- 200 cations, Proceedings of the Seventh International Workshop on Computer Architecture for Machine Perception, pp.327-332, 2005.

F. Giunchiglia and C. Ghidini, Local models semantics, or contextual reasoning = locality + compatibility, Artificial Intelligence, vol.127, issue.2, pp.221-259, 2001.

G. Grondin, Un modèle d'agents auto-adaptables à base de composants, Ecole nationale supérieure des Mines de Saint, 2009.

C. Guanling and D. Kotz, Context aggregation and dissemination in ubiquitous computing systems, Proceedings Fourth IEEE Workshop on Mobile Computing Systems and Applications, 2002.
DOI : 10.1109/MCSA.2002.1017490

V. Ramanathan and . Guha, Contexts : a formalization and some applications, 1991.

H. Peter-alesso and C. F. Smith, Thinking on the Web : Berners-Lee, Gödel and Turing, 2006.

B. Han, W. Jia, J. Shen, and M. Yuen, Context-Awareness in Mobile Web Services, Proceedings of the Second International Symposium on Parallel and Distributed Processing and Applications, pp.519-528, 2004.
DOI : 10.1007/978-3-540-30566-8_62

C. Harry, P. Filip, C. Dipanjan, F. Tim, and J. Anupam, Intelligent agents meet semantic web in a smart meeting room, Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, pp.854-861, 2004.

K. Henrickse, A framework for context-aware pervasive computing applications The school of information technology and electrical engineering of Queensland University, 2003.

J. Hightower, A. Lamarca, and I. E. Smith, Practical Lessons from Place Lab, IEEE Pervasive Computing, vol.5, issue.3, pp.32-39, 2006.
DOI : 10.1109/MPRV.2006.55

Y. Seon-ho-park, T. Ju-han, and C. , Context-aware security management system for pervasive computing environment, In CONTEXT, pp.384-396, 2007.

E. Horvitz, S. Dumais, and P. Koch, Learning predictive models of memory landmarks, 2004.

H. Hyyrö, A bit-vector algorithm for computing levenshtein and damerau edit distances, Nord Journal Computing, vol.10, issue.1, pp.29-39, 2003.

V. I. Levenshtein, Binary codes capable of correcting deletions, insertions and reversals. Soviet, Physics Doklady, vol.10, pp.707-710, 1966.

J. Himberg, J. A. Flanagan, and J. Mäntyjärvi, Towards context awareness using symbol clustering map, Proceedings of the Workshop for selforganizing maps, pp.249-254, 2003.

J. Himberg, K. Korpiaho, H. Mannila, J. Tikanmaki, and T. H. , Time series segmentation for context recognition in mobile devices, Proceedings 2001 IEEE International Conference on Data Mining, pp.203-210, 2001.
DOI : 10.1109/ICDM.2001.989520

J. A. Flanagan, Unsupervised clustering of symbol strings, Proceedings of the International Joint Conference on Neural Networks, 2003., pp.3250-3255, 2003.
DOI : 10.1109/IJCNN.2003.1224094

I. Jadwiga, R. Ricky, R. Andry, and H. Karen, Experiences in using cc/pp in context-aware systems, Proceedings of the 4th International Conference on Mobile Data Management, pp.247-261, 2003.

I. Jaga, L. Seng-wai, R. Andry, W. Varuni, Z. Arkady et al., An open architecture for pervasive systems, Proceedings of the Third International Working Conference on New Developments in Distributed Applications and Interoperable Systems, pp.175-188, 2001.

M. Jani, H. Johan, P. Kangas, U. Tuomela, and P. Huuskonen, Sensor signal data set for exploring context recognition of mobile devices, Proceedings of the Workshop " Benchmarks and a Database for Context Recognition " of 2nd International Conference on Pervasive Computing, 2004.

P. Mr and . Jason, Adding generic contextual capabilities to wearable computers, Proceedings of the 2nd IEEE International Symposium on Wearable Computers, p.92, 1998.

Z. Jiwei, Z. Haiping, L. Jianming, and Y. Yong, Conceptual graph matching for semantic search, Proceedings of the 10th International Conference on Conceptual Structures (ICCS), pp.92-196, 2002.

C. Joëlle, C. James, L. , D. Simon, and G. David, Context is key, Communications of the ACM, vol.48, issue.3, pp.49-53, 2005.

M. John, Generality in artificial intelligence, Communications of the ACM, vol.30, issue.12, pp.1030-1035, 1987.

M. John and B. Sasa, Formalizing context (expanded notes), 1994.

H. Jongyi, S. Eui-ho, K. Junyoung, and K. Suyeon, Contextaware system for proactive personalized service based on context history. Expert System Application, pp.7448-7457, 2009.

A. K. Jain, M. N. Murty, and F. P. , Data clustering: a review, ACM Computing Surveys, vol.31, issue.3, pp.264-323, 1999.
DOI : 10.1145/331499.331504

S. Jones and K. , A STATISTICAL INTERPRETATION OF TERM SPECIFICITY AND ITS APPLICATION IN RETRIEVAL, Journal of Documentation, vol.28, issue.1, pp.11-21, 1972.
DOI : 10.1108/eb026526

H. Karen, I. Jadwiga, and R. Andry, Modeling context information in pervasive computing systems, Proceedings of the First International Conference on Pervasive Computing, pp.167-180, 2002.

F. Kawsar, K. Fujinami, S. Pirttikangas, and T. Nakajima, Personalization and context aware services : A middleware perspective, Proceedings of the 2nd International Workshop on Personalized Context Modeling and Management for UbiComp Applications, 2006.

P. Korpipää and J. Mäntyjärvi, An Ontology for Mobile Device Sensor-Based Context Awareness, Proceedings of the 4th International and Interdisciplinary Conference, pp.451-458, 2003.
DOI : 10.1007/3-540-44958-2_37

A. Krause and A. Smailagic, Unsupervised, dynamic identification of physiological and activity context in wearable computing, Seventh IEEE International Symposium on Wearable Computers, 2003. Proceedings., pp.88-97, 2003.
DOI : 10.1109/ISWC.2003.1241398

A. Krause, A. Smailagic, and D. P. Siewiorek, Context-aware mobile computing: learning context- dependent personal preferences from a wearable sensor array, IEEE Transactions on Mobile Computing, vol.5, issue.2, pp.113-127, 2006.
DOI : 10.1109/TMC.2006.18

K. Van-laerhoven, Combining the self organizing map and k-means clustering for online classification of sensor data, Proceedings of the International Conference on Artificial Neural Networks, pp.464-469, 2001.

S. Luciano and B. Paolo, Comparing formal theories of context in ai, Artificial Intelligence, vol.155, issue.12, pp.41-67, 2004.

M. Cremene, M. Riveill, M. Martel, C. Loghin, and C. Miron, Adaptation dynamique de services, Proceedings of the Première conférence francophone sur le déploiement et la (Re)Configuration de logiciels, 2004.
URL : https://hal.archives-ouvertes.fr/hal-00003282

K. Georgia, M. , P. George, and N. , Tselikas Nikolaos D., and Venieris Iakovos S. Context-aware service engineering : A survey, Journal of Systems Software, vol.82, issue.8, pp.1285-1297, 2009.

M. Kirsch-pinheiro, Y. Vanrompay, and Y. Berbers, Context-aware service selection using graph matching, Proceedings of the 2nd Non Functional Properties and Service Level Agreements in Service Oriented Computing Workshop, pp.199-205, 2008.

M. Meila, Comparing clusterings???an information based distance, Journal of Multivariate Analysis, vol.98, issue.5, pp.873-895, 2007.
DOI : 10.1016/j.jmva.2006.11.013

K. Markus and K. Alfons, Towards context-aware adaptable web services, Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters, pp.55-65, 2004.

C. Matthew, F. Jonathan, G. Andreas, and W. Lynn, Temporal event clustering for digital photo collections, ACM Transactions on Multimedia Computing, Communications and Applications, vol.1, pp.269-288, 2005.

R. Mayrhofer, An Architecture for Context Prediction, 2005.
DOI : 10.1002/sec.1028

S. Mcburney, M. H. Williams, N. K. Taylor, and E. Papadopoulou, Managing User Preferences for Personalization in a Pervasive Service Environment, The Third Advanced International Conference on Telecommunications (AICT'07), p.32, 2007.
DOI : 10.1109/AICT.2007.27

R. Nayak and C. Tong, Applications of Data Mining in Web Services, Web Information Systems -WISE, Lecture Notes in Computer Science, pp.199-205, 2004.
DOI : 10.1007/978-3-540-30480-7_22

K. Nihel, Context sharing platform Advanced Technologies and solutions toward ubiquitous network society, special issue, pp.200-204, 2004.

P. Nurmi and P. Floréen, Reasoning in context-aware systems, 2004.

H. Edwin, O. , C. Diane, and J. , Improving home automation by discovering regularly occurring device usage patterns, Proceedings of the Third IEEE International Conference on Data Mining, pp.537-206, 2003.

K. Ohbyung and K. Jihoon, Concept lattices for visualizing and generating user profiles for context-aware service recommendations, Expert System Application, vol.36, issue.2, pp.1893-1902, 2009.

R. Oppermann, M. Specht, and I. Jaceniak, Hippie: A Nomadic Information System, Proceedings of the First International Symposium in Handheld and Ubiquitous Computing, pp.330-333, 1999.
DOI : 10.1007/3-540-48157-5_37

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.23.3282

A. P. Dempster, Upper and Lower Probabilities Induced by a Multivalued Mapping, The Annals of Mathematical Statistics, vol.38, issue.2, pp.325-339, 1967.
DOI : 10.1214/aoms/1177698950

A. P. Dempster, N. M. Laird, and R. D. , Maximum likelihood from incomplete data via the em algorithm, Journal of the Royal Statistical Society, vol.39, issue.1, pp.1-38, 1977.

P. Langfelder, B. Zhang, and S. Horvath, Defining clusters from a hierarchical cluster tree: the Dynamic Tree Cut package for R, Bioinformatics, vol.24, issue.5, pp.719-720, 2008.
DOI : 10.1093/bioinformatics/btm563

M. Thomas, P. , and D. Paul, Introduction to context-aware computing, Human Computer Interaction, vol.16, issue.2, pp.87-95, 2001.

D. Paul, Seeking a foundation for context-aware computing. Human computer interaction, pp.229-241, 2001.

E. Pignotti, P. Edwards, and G. Grimnes, Contextaware personalised service delivery, Proceedings of the European Conference on Artificial Intelligence, pp.1077-1078, 2004.

D. Preuveneers, K. Victor, Y. Vanrompay, P. Rigole, M. Kirsch et al., Context-aware adaptation in an ecology of 207 applications Information science reference, Book of Context-Aware Mobile and Ubiquitous Computing for Enhanced Usability : Adaptive Technologies and Applications, pp.1-25, 2009.

L. Qianhui and C. J. , Analyzing service usage patterns : Methodology and simulation, Proceedings of the IEEE International Conference on e-Business Engineering, pp.359-362, 2007.

W. Quan and H. Jianmin, Personalized recommendation services based on service-oriented architecture, Proceedings of the 2006 IEEE Asia- Pacific Conference on Services Computing, pp.356-361, 2006.

W. Quan and H. Jianmin, Personalized recommendation services based on service-oriented architecture, Proceedings of the 2006 IEEE Asia- Pacific Conference on Services Computing, pp.356-361, 2006.

R. Rada, H. Bicknell, E. Mili, and M. Blettner, Development and application of a metric on semantic nets, IEEE Transactions on Systems, Man, and Cybernetics, vol.19, issue.1, pp.17-30, 1989.
DOI : 10.1109/21.24528

C. Raibulet, Adaptive resource and service management in a mobileenabled environment In Book of Context-Aware Mobile and Ubiquitous Computing for Enhanced Usability : Adaptive Technologies and Applications Information science re- ference, pp.235-257, 2009.

F. Ramparany, Y. Benazzouz, and M. B. Martin, Agenda driven home automation -towards high level context aware systems. Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing, vol.0, pp.125-130, 2009.
DOI : 10.1109/uic-atc.2009.39

N. S. Ryan, J. Pascoe, and D. R. Morse, Enhanced reality fieldwork : the context-aware archaeological assistant, Computer Applications in Archaeology, British Archaeological Reports, 1998.

S. Mancoridis, B. S. Mitchell, Y. Chen, E. R. Gansner, and . Bunch, Bunch: a clustering tool for the recovery and maintenance of software system structures, Proceedings IEEE International Conference on Software Maintenance, 1999 (ICSM'99). 'Software Maintenance for Business Change' (Cat. No.99CB36360), pp.50-59, 1999.
DOI : 10.1109/ICSM.1999.792498

Y. Stephen, S. , and K. Fariaz, A context-sensitive middleware for dynamic integration of mobile devices with network infrastructures, Journal of Parallel and Distributed Computing, vol.64, issue.2, pp.301-317, 2004.

S. Walid and . Saba, Language, logic and ontology : Uncovering the structure of commonsense knowledge, International Journal of Man-Machine Studies, vol.65, issue.7, pp.610-623, 2007.

S. Saowanee, Context-based service adaptation platform : Improving the user experience towards mobile location services, Proceedings of the International Conference on Information Networking, pp.1-5, 2008.

M. Sarah, P. Eliza, T. Nick, and W. Howard, Adapting pervasive environments through machine learning and dynamic personalization, Proceedings of the 2008 IEEE International Symposium on Parallel and Distributed Processing with Applications, pp.395-402, 2008.

G. Saul, Context as a dynamic construct, Human Computer Interaction, vol.16, issue.2, pp.257-268, 2001.

F. Serena, S. Aline, and C. Siobhan, Addressing dynamic contextual adaptation with a domain-specific language, Proceedings of the 1st International Workshop on Software Engineering for Pervasive Computing Applications, Systems, and Environments, 2007.

S. J. Louis and A. Shankar, Context learning can improve user interaction, Proceedings of the 2004 IEEE International Conference on Information Reuse and Integration, 2004. IRI 2004., pp.115-120, 2004.
DOI : 10.1109/IRI.2004.1431446

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.102.8814

T. Strang and C. Linnhoff-popien, A context modeling survey Advanced Context Modelling, Reasoning and Management, Proceedings of the Workshop of the Sixth International Conference on Ubiquitous Computing, 2004.

C. Tarak, E. Dejene, L. Frédérique, and S. Vasile-marian, A comprehensive approach to model and use context for adapting applications in pervasive environments, Journal of systeme software, vol.80, issue.12, pp.1973-1992, 2007.

W. Terry, Architectures for context. Human-Computer Interaction, pp.401-419, 2001.

G. Tesauro, D. S. Touretzky, and T. K. Leen, Advances in Neural Information Processing Systems, 1995.

H. Truong and S. Dustdar, A survey on context???aware web service systems, International Journal of Web Information Systems, vol.5, issue.1, pp.5-31, 2009.
DOI : 10.1108/17440080910947295

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.159.9731

M. Vallée, F. Ramparany, and L. Vercouter, Using device services and flexible composition in ambient communication environments, Proceedings of the 1st International Workshop on Requirements and Solutions for Pervasice Software Infrastructure (RSPSI), 2006.

. Laerhoven-kristof and . Van, Combining the self-organizing map and k-means clustering for on-line classification of sensor data, Proceedings of the International Conference on Artificial Neural Networks, pp.464-469, 2001.

. Stijn-van-dongen, Graph Clustering by Flow Simulation, 2000.

R. De, V. , and R. Torlone, Modeling heterogeneous context information in adaptive web based applications, Proceedings of the 6th International Conference on Web Engineering, pp.56-63, 2006.

Y. Wang, Web mining and knowledge discovery of usage patterns, 2000.

K. Wilkinson, C. Sayers, H. A. Kuno, and D. Reynolds, Efficient rdf storage and retrieval in jena2, Exploiting Hyperlinks, pp.35-43, 2003.

H. Xin, N. Chris, M. Maurice, M. Sally, S. Bryan et al., Evidential fusion of sensor data for activity recognition in smart homes, Pervasive Mobile Computing, vol.5, issue.3, pp.236-252, 2009.

M. Montes-y-gómez, A. Gelbukh, and A. López-lópez, Comparison of Conceptual Graphs, Proceedings of the 1st Mexican International Conference on Artificial Intelligence, pp.548-556, 2000.
DOI : 10.1007/10720076_50

S. Yun, A. Park, and K. Jung, Graph-based high level motion segmentation using normalized cuts, Proceedings of World Academy of Science, Engineering and Technology, pp.306-311, 2008.

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

S. Zaidenberg, Apprentissage par renforcement de modèles de contexte pour l'informatique ambiante, 2009.

M. Zuidweg, J. G. Filho, and M. J. Van-sinderen, Using p3p in a web services-based context-aware application platform, Proceedings of EUNICE 2003 9th Open European Summer School and IFIP WG6.3 Workshop on Next Generation Networks, pp.238-243, 2003.