COMOREA 2020 - 16th Workshop on Context Modeling and Recognition

The goal is to identify concepts, theories and methods applicable to context modeling and context reasoning as well as system-oriented issues related to the design and implementation of context-aware systems. Particular attention will be paid to hybrid approaches to context modeling; e.g., an integration of non-ontology based context models with ontology based context models.
There is a high interest in context-aware applications that intelligently support user tasks by acting autonomously on behalf of users. Behavior of context-aware applications depends not only on their internal state and user interactions but also on the context sensed during their execution. Some early models of context information already exist, however many research issues related to context information modeling are still not fully addressed. Existing context models vary in types of context information they can represent. While some models take the user’s current situation, e.g. “in a meeting”, into account others model the physical environment, i.e. locations. A more generic approach to context modeling is needed in order to capture various features of context information including a variety of types of context information, dependencies between context information, quality of context information and context histories. In addition, to ease software engineering problems encountered in programming context-aware applications, appropriate abstractions are necessary to support discovery and reuse of context information as well as scalable methods of context processing and management.