An innovative architecture for context foraging
Proceedings of the Eighth ACM International Workshop on Data Engineering for Wireless and Mobile Access
Advanced inference in situation-aware computing
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Advanced fuzzy inference engines in situation aware computing
Fuzzy Sets and Systems
A situation-aware approach for dealing with uncertain context-aware paradigm
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Context Modeling Reflecting the Perspectives of Constituent Agents in Distributed Reasoning
GREENCOM-CPSCOM '10 Proceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing
Future Generation Computer Systems
An adaptive rule-based approach for managing situation-awareness
Expert Systems with Applications: An International Journal
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Context awareness is viewed as one of the most important aspects in the emerging pervasive computing paradigm. We focus our work on situation awareness; a more holistic variant of context awareness where situations are regarded as logically aggregated contexts. One important problem that arises in such systems is the imperfect observations (e.g., sensor readings) that lead to the estimation of the current context of the user. Hence, the knowledge upon which the context / situation aware paradigm is built is rather vague. To deal with this shortcoming, we propose the use of Fuzzy Logic theory with the purpose of determining (inferring) and reasoning about the current situation of the involved user. We elaborate on the architectural model that enables the system to assume actions autonomously according to previous user reactions and current situation. The captured, imperfect contextual information is matched against pre-developed ontologies in order to approximately infer the current situation of the user. Finally, we present a series of experimental results that provide evidence of the flexible, efficient nature of the proposed situation awareness architecture.