About & Dates
The CoMoRea Workshop is a follow-up to a successful 17 years series of workshops on Context and Activity Modeling and Recognition (CoMoReA) and the ACOMORE Symposium. It is collocated with the 20th Annual IEEE Intl. Conference on Pervasive Computing and Communications in Pisa, Italy, March 21-25, 2022.
Workshop paper submission deadline (extended!):
November 14, 2021 November 28, 2021
Workshop paper notification: January 5, 2022
Workshop camera ready: February 5, 2022
Author registration: February 5, 2022
Workshop date: March 25, 2022
This workshop’s aim is to advance the state of the art in context and activity modeling and reasoning and discuss fundamental issues in context processing and management.
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.