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This book constitutes the proceedings of the 7th International and Interdisciplinary Conference on Modeling and Using Context, CONTEXT 2011, held in Karlsruhe, Germany in September 2011. The 17 full papers and 7 short papers presented were carefully reviewed and selected from 54 submissions. In addition the book contains two keynote speeches and 8 poster papers. They cover cutting-edge results from the wide range of disciplines concerned with context, including the cognitive sciences (linguistics, psychology, philosophy, computer science, neuroscience), the social sciences and organization sciences, and all application areas.

KI 2008 was the 31st Annual German Conference on Arti?cial Intelligence held September 23–26 at the University of Kaiserslautern and the German Research Center for Arti?cial Intelligence DFKI GmbH in Kaiserslautern, Germany. The conference series started in 1975 with the German Workshop on AI (GWAI), which took place in Bonn, and represents the?rst forum of its type for the German AI Community. Over the years AI has become a major?eld in c- puter scienceinGermanyinvolvinga numberof successfulprojects thatreceived much international attention. Today KI conferences are international forums where participants from academia and industry from all over the world meet to exchange their recent research results and to discuss trends in the?eld. Since 1993 the meeting has been called the “Annual German Conference on Arti?cial Intelligence,” designated by the German acronym KI. This volume contains the papers selected out of 77 submissions, including a number of submissions from outside German-speaking countries. In total, 15 submissions (19%) were accepted for oral and 30 (39%) for poster presentation. Oralpresentationsattheconferenceweresingletrack. Becauseofthis,thechoice of presentation form (oral, poster) was based on how well reviews indicated that the paper would?t into one or the other format. The proceedings allocate the same space to both types of papers. In addition, we selected six papers that show high application potential - scribing systems or prototypical implementations of innovative AI technologies. They are also included in this volume as two-page extended abstracts.

Context a?ects a wide range of activities in humans and animals as well as in arti?cialagentsandothersystems.Theimportanceofcontextiswidelyackno- edged, and “context” has become an area of study in its own right, as evidenced bynumerousworkshops,symposia,seminars,andconferencesonthisarea.CON- TEXT,theoldestconferenceseriesfocusing oncontext,is unique inits emphasis on interdisciplinary research. Previous CONTEXT conferences have been held in Rio de Janeiro, Brazil (CONTEXT'97), Trento, Italy (CONTEXT'99, LNCS 1688), Dundee, UK (CONTEXT 2001, LNCS 2116), Palo Alto, USA (CON- TEXT 2003, LNCS 2680), and Paris, France (CONTEXT 2005, LNCS 3554). Each of these brought together researchers and practitioners from a large range of?elds to discuss and report on context-related research and projects. The CONTEXT 2007 conference was held at Roskilde University, Denmark. The?rst two days were devoted to workshops on speci?c areas of interest to the context community and, in parallel, the doctoralconsortium. The remaining three days featured invited talks, presentations, and posters on both theoretical and applied context research. This volume contains the papers presented at CONTEXT 2007, the Sixth International and Interdisciplinary Conference on Modeling and Using Context. There were 121 submissions to the conference. The committee decided to accept 42 papers on the basis of a thorough and highly selective review process. We believe that the papers of this volume represent a snapshot of current work and contribute to both theoretical and applied aspects of research.

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.