Modeling and Retrieval of Context: Second International Workshop, MRC 2005, Edinburgh, UK, July 31-August 1, 2005, Revised Selected Papers (Lecture Notes in Computer Science Book 3946)

Computing in context has become a necessity in modern and intelligent IT - plications. With the use of mobile devices and current research on ubiquitous computing, context-awareness has become a major issue. However, context and context-awareness are crucial not only for mobile and ubiquitous computing. They are also vital for spanning various application areas, such as collaborative softwareand Web engineering, personaldigital assistantsand peer-to-peer inf- mation sharing, health care work?ow and patient control, and adaptive games and e-learning solutions. In these areas, context serves as a major source for reasoning, decision making, and adaptation, as it covers not only application knowledge but also environmental knowledge. Likewise, modeling and retrieving context is an important part of modern knowledge management processes. In addition, context can play a role in determining what information a s- tem should provide. This is important for supporting the users of automated or intelligent systems, for tasks such as explaining how solutions are found, what the system is doing, and why it operates in a certain way. The methods applied and the advice given have to be explained, so that the user can understand the process and agree on decisions. Context is equally important for deciding when to provide uncertain or blurred information, e.g., when using a tracking system in situations for which either revealing the current position, or denying access to it, would have adverse e?ects. In this wide range of applications, context is now more than just location Using Activity Theory To Model Context Awareness / Anders Kofod-petersen And Jorg Cassens -- A Context Model For Personal Knowledge Management Applications / Sven Schwarz -- Situation Modeling And Smart Context Retrieval With Semantic Web Technology And Conflict Resolution / Dominik Heckmann -- An Architecture For Developing Context-aware Systems / Kaiyu Wan, Vasu Algar And Joey Paquet -- Steps Towards Making Contextualized Decisions : How To Do What You Can, With What You Have, Where You Are / Oana Bucur, Philippe Beaune And Olivier Boissier -- A Layered Model For User Context Management With Controlled Aging And Imperfection Handling / Andreas Schmidt -- Designing The Context Matching Engine For Evaluating And Selecting Context Information Sources / Maria Chantzara And Miltiades Anagnostou -- Identifying The Multiple Contexts Of A Situation / Aviv Segev -- An Engineering Approach To Adaptation And Calibration / Michael Fahrmair, Wassiou Sitou And Bernd Spanfelner. Thomas R. Roth-berghofer, Stefan Schulz, David B. Leake (eds.). Nine Papers From The Second International Workshop On Modeling And Retrieval Of Context, Mrc 2005, Held At The 19th International Joint Conference On Artificial Intelligence--pref. Includes Bibliographical References And Index. Front Matter....Pages - Using Activity Theory to Model Context Awareness....Pages 1-17 A Context Model for Personal Knowledge Management Applications....Pages 18-33 Situation Modeling and Smart Context Retrieval with Semantic Web Technology and Conflict Resolution....Pages 34-47 An Architecture for Developing Context-Aware Systems....Pages 48-61 Steps Towards Making Contextualized Decisions: How to Do What You Can, with What You Have, Where You Are....Pages 62-85 A Layered Model for User Context Management with Controlled Aging and Imperfection Handling....Pages 86-100 Designing the Context Matching Engine for Evaluating and Selecting Context Information Sources....Pages 101-117 Identifying the Multiple Contexts of a Situation....Pages 118-133 An Engineering Approach to Adaptation and Calibration....Pages 134-147 Back Matter....Pages - This book constitutes the thoroughly refereed post-proceedings of the Second International Workshop on Modeling and Retrieval of Context, MRC 2005, held in Edinburgh, UK in July/August 2005, as associated event of the 19th International Joint Conference on Artificial Intelligence, IJCAI 2005. The 9 revised full papers presented were carefully selected and include extended versions of some of the papers presented at the MRC 2005 workshop. A major goal of the workshop was to study, understand, and explore the handling of context in IT applications. The papers illustrate the state of the art of context modeling and elicitation as well as identification and application of context in different application scenarios