Sensibilité aux situations de façon collaborative

Situation awareness and collective intelligence are two technologies used in smart systems. The former renders those systems able to reason upon their abstract knowledge of what is going on. The latter enables them learning and deriving new information from a composition of experiences of their users. In this dissertation we present a doctoral research on an attempt to combine the two in order to obtain, in a collaborative fashion, situation-based rules that the whole community of entities would benefit of sharing. We introduce the KRAMER recommendation system, which we designed and implemented as a solution to the problem of not having decision support tools both situation-aware and collaborative. The system is independent from any domain of application in particular, in other words generic, and we apply its prototype implementation to context-enriched social communication scenario.

[1]  Luca Cagliero,et al.  Context-Aware User and Service Profiling by Means of Generalized Association Rules , 2009, KES.

[2]  Satnam Alag,et al.  Collective Intelligence in Action , 2008 .

[3]  Gregory D. Abowd,et al.  CybreMinder: A Context-Aware System for Supporting Reminders , 2000, HUC.

[4]  Guanling Chen,et al.  Context aggregation and dissemination in ubiquitous computing systems , 2002, Proceedings Fourth IEEE Workshop on Mobile Computing Systems and Applications.

[5]  S. Hadjiefthymiades,et al.  Reasoning about Situation Similarity , 2006, 2006 3rd International IEEE Conference Intelligent Systems.

[6]  Jean-Gabriel Ganascia,et al.  High-level fusion based on conceptual graphs , 2007, 2007 10th International Conference on Information Fusion.

[7]  Claudia Linnhoff-Popien,et al.  A Context Modeling Survey , 2004 .

[8]  Charles L. Forgy,et al.  Rete: a fast algorithm for the many pattern/many object pattern match problem , 1991 .

[9]  Opher Etzion,et al.  Event Processing in Action , 2010 .

[10]  Stephen S. Yau,et al.  Hierarchical situation modeling and reasoning for pervasive computing , 2006, The Fourth IEEE Workshop on Software Technologies for Future Embedded and Ubiquitous Systems, and the Second International Workshop on Collaborative Computing, Integration, and Assurance (SEUS-WCCIA'06).

[11]  Ian F. Akyildiz,et al.  Wireless sensor networks: a survey , 2002, Comput. Networks.

[12]  Tao Gu,et al.  Ontology based context modeling and reasoning using OWL , 2004, IEEE Annual Conference on Pervasive Computing and Communications Workshops, 2004. Proceedings of the Second.

[13]  Alex S. Taylor,et al.  Locating Family Values: A Field Trial of the Whereabouts Clock , 2007, UbiComp.

[14]  N. Cocchiarella,et al.  Situations and Attitudes. , 1986 .

[15]  Agnès Voisard,et al.  Context- and Situation-Awareness in Information Logistics , 2004, EDBT Workshops.

[16]  Juan Ye,et al.  Using Situation Lattices to Model and Reason about Context , 2007 .

[17]  Yukun Cao,et al.  An intelligent fuzzy-based recommendation system for consumer electronic products , 2007, Expert Syst. Appl..

[18]  Matthew Chalmers,et al.  From awareness to repartee: sharing location within social groups , 2008, CHI.

[19]  Kartik Hosanagar,et al.  Blockbuster Culture's Next Rise or Fall: The Impact of Recommender Systems on Sales Diversity , 2007, Manag. Sci..

[20]  John Riedl,et al.  Item-based collaborative filtering recommendation algorithms , 2001, WWW '01.

[21]  Bo Hu,et al.  A Conceptual Graph Based Approach to Ontology Similarity Measure , 2007, ICCS.

[22]  James F. Allen.  Maintaining knowledge about temporal intervals , 1983, CACM.

[23]  Philip Robinson,et al.  AwareCon: Situation Aware Context Communication , 2003, UbiComp.

[24]  Michael Jackman,et al.  Conceptual graphs , 1988 .

[25]  J. A. Campbell,et al.  A Novel Algorithm for Matching Conceptual and Related Graphs , 1995, ICCS.

[26]  Ricardo Baeza-Yates,et al.  Flexible comparison of conceptual graphs , 2001 .

[27]  Varol Akman,et al.  The Use of Situation Theory in Context Modeling , 1997, Comput. Intell..

[28]  Frederick Hayes-Roth,et al.  Rule-based systems , 1985, CACM.

[29]  Annie Chen,et al.  Context-Aware Collaborative Filtering System: Predicting the User's Preference in the Ubiquitous Computing Environment , 2005, LoCA.

[30]  Mika Raento,et al.  ContextPhone: a prototyping platform for context-aware mobile applications , 2005, IEEE Pervasive Computing.

[31]  G. Aghila,et al.  A Survey of Semantic Similarity Methods for Ontology Based Information Retrieval , 2010, 2010 Second International Conference on Machine Learning and Computing.

[32]  Eric T. Matson,et al.  A vector-space retrieval system for contextual awareness , 2012, 2012 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support.

[33]  John Riedl,et al.  E-Commerce Recommendation Applications , 2004, Data Mining and Knowledge Discovery.

[34]  Michael Roberts,et al.  Collaborative Filtering Is Not Enough? Experiments with a Mixed-Model Recommender for Leisure Activities , 2009, UMAP.

[35]  Mica R. Endsley,et al.  Toward a Theory of Situation Awareness in Dynamic Systems , 1995, Hum. Factors.

[36]  Marie-Laure Mugnier,et al.  On generalization/specialization for conceptual graphs , 1995, J. Exp. Theor. Artif. Intell..

[37]  Gediminas Adomavicius,et al.  Context-aware recommender systems , 2008, RecSys '08.

[38]  Gerard Ellis,et al.  Multilevel hierarchical retrieval , 1992, Knowl. Based Syst..

[39]  Jonathan L. Herlocker,et al.  Evaluating collaborative filtering recommender systems , 2004, TOIS.

[40]  Stathes Hadjiefthymiades,et al.  Situation Awareness: Dealing with Vague Context , 2006, 2006 ACS/IEEE International Conference on Pervasive Services.

[41]  John Seely Brown,et al.  The coming age of calm technolgy , 1997 .

[42]  Luís Ferreira Pires,et al.  Situations in Conceptual Modeling of Context , 2006, 2006 10th IEEE International Enterprise Distributed Object Computing Conference Workshops (EDOCW'06).

[43]  Ahmed Bouabdallah,et al.  Interpersonal context-aware communication services , 2011, IEEE Communications Magazine.

[44]  Xing Xie,et al.  Mining interesting locations and travel sequences from GPS trajectories , 2009, WWW '09.

[45]  Arkady B. Zaslavsky,et al.  Towards a theory of context spaces , 2004, IEEE Annual Conference on Pervasive Computing and Communications Workshops, 2004. Proceedings of the Second.

[46]  Saı̈d Mechkour.  Overview of Situation Theory and its application in modelling context , 2010 .

[47]  Aaron J. Quigley,et al.  Scatterbox: Context-Aware Message Management , 2008, Rev. d'Intelligence Artif..

[48]  Albrecht Schmidt,et al.  Context-phonebook extending mobile phone applications with context , 2001 .

[49]  Jian Lu,et al.  epSICAR: An Emerging Patterns based approach to sequential, interleaved and Concurrent Activity Recognition , 2009, 2009 IEEE International Conference on Pervasive Computing and Communications.

[50]  Mohan M. Trivedi,et al.  Driver Behavior and Situation Aware Brake Assistance for Intelligent Vehicles , 2007, Proceedings of the IEEE.

[51]  Gregory D. Abowd,et al.  Providing architectural support for building context-aware applications , 2000 .

[52]  Zhenzhen Zhao,et al.  A survey of user generated service , 2009, 2009 IEEE International Conference on Network Infrastructure and Digital Content.

[53]  Sheng-Tzong Cheng,et al.  An Adaptive Scenario Based Reasoning system cross smart houses , 2009, ICC 2009.

[54]  James Surowiecki.  The wisdom of crowds: Why the many are smarter than the few and how collective wisdom shapes business, economies, societies, and nations Doubleday Books. , 2004 .

[55]  Tom H. F. Broens,et al.  A Rule-Based Approach Towards Context-Aware User Notification Services , 2006, 2006 ACS/IEEE International Conference on Pervasive Services.

[56]  Jun Ma,et al.  Semantic Complex Event Reasoning - Beyond Complex Event Processing , 2011, Foundations for the Web of Information and Services.

[57]  Euiho Suh,et al.  Context-aware system for proactive personalized service based on context history , 2009, Expert Syst. Appl..

[58]  Eetu Mäkel̈a.  Survey of Semantic Search Research , 2005 .

[59]  Osmar R. Zaïane,et al.  Building a Recommender Agent for e-Learning Systems , 2002, ICCE.

[60]  Mark Rosenstein,et al.  Recommending and evaluating choices in a virtual community of use , 1995, CHI '95.

[61]  Yannick Naudet,et al.  Applications of user and context-aware recommendations using ontologies , 2010, IHM.

[62]  Jonna Häkkilä,et al.  Utilising context ontology in mobile device application personalisation , 2004, MUM '04.

[63]  Simon A. Dobson,et al.  Human-behaviour study with situation lattices , 2009, 2009 IEEE International Conference on Systems, Man and Cybernetics.

[64]  Wenji Mao,et al.  Social Computing: From Social Informatics to Social Intelligence , 2007, IEEE Intell. Syst..

[65]  Simon A. Dobson,et al.  Representing and Manipulating Situation Hierarchies using Situation Lattices , 2008, Rev. d'Intelligence Artif..

[66]  Yong Yu,et al.  Conceptual Graph Matching for Semantic Search , 2002, ICCS.

[67]  Michael Roberts,et al.  Scalable architecture for context-aware activity-detecting mobile recommendation systems , 2008, 2008 International Symposium on a World of Wireless, Mobile and Multimedia Networks.

[68]  Timothy W. Finin,et al.  Why we twitter: understanding microblogging usage and communities , 2007, WebKDD/SNA-KDD '07.

[69]  Carlo Curino,et al.  A data-oriented survey of context models , 2007, SGMD.

[70]  Paul Fergus,et al.  Managing Distributed Networked Appliances in Home Networks , 2008, Proceedings of the IEEE.

[71]  Antonio Iera,et al.  The Internet of Things: A survey , 2010, Comput. Networks.

[72]  Esperanza Marcos,et al.  Hierarchies in Object Oriented Conceptual Modeling , 2002, OOIS Workshops.

[73]  D. Lazer,et al.  Inferring Social Network Structure using Mobile Phone Data , 2006 .

[74]  Anind K. Dey,et al.  Who wants to know what when? privacy preference determinants in ubiquitous computing , 2003, CHI Extended Abstracts.

[75]  Matthias Baldauf,et al.  A survey on context-aware systems , 2007, Int. J. Ad Hoc Ubiquitous Comput..

[76]  Thomas R. Gruber,et al.  Collective knowledge systems: Where the Social Web meets the Semantic Web , 2008, J. Web Semant..

[77]  Mieczyslaw M. Kokar,et al.  Ontology-based situation awareness , 2009, Inf. Fusion.

[78]  Carlos Delgado Kloos,et al.  A Collaborative Recommender System Based on Space-Time Similarities , 2010, IEEE Pervasive Computing.

[79]  Alexander F. Gelbukh,et al.  Comparison of Conceptual Graphs , 2000, MICAI.

[80]  Michael J. Pazzani,et al.  Content-Based Recommendation Systems , 2007, The Adaptive Web.

[81]  Bashar Nuseibeh,et al.  Feature interaction: the security threat from within software systems , 2008 .

[82]  Guy Shani,et al.  Evaluating Recommendation Systems , 2011, Recommender Systems Handbook.

[83]  Jaroslaw Domaszewicz,et al.  Tangible applications for regular objects: An end-user model for pervasive computing at home , 2010 .