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Context-sensitive processing has a key role in many modern intelligent IT applications, with contextawareness and context-based reasoning essential not only for mobile and ubiquitous computing, but also for a wide range of other areas such as collaborative software, web engineering, personal digital assistants, information sharing, health care workflow and patient control, adaptive games, and e-Learning solutions. In these areas, context serves as a major source for reasoning, decision-making, and adaptation. Consequently, achieving desired behaviors from intelligent systems in these areas will depend on the ability to represent and manipulate information about a rich range of contextual factors. These factors may include not only physical characteristics of the task environment, but many other aspects such as the knowledge states (of both the application and user), emotions, etc. This representation and reasoning problem presents research challenges to which numerous methods and techniques derived from artificial intelligence and knowledge management, e.g., logical reasoning, object relationship models, and ontologies, are now being brought to bear in divergent communities with limited interactions. This workshop aims to bring together researchers and practitioners exploring issues and approaches for context-sensitive systems, from a broad range of areas, to share their problems and techniques across different research and application areas. The workshop will examine mechanisms and techniques for structured storage of contextual information, effective ways to retrieve it, and methods for enabling integration of context and application knowledge.
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