Location Models from the Perspective of Context-Aware Applications and Mobile Ad Hoc Networks
Personal and Ubiquitous Computing
Providing Contextual Information to Pervasive Computing Applications
PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
From Home to World - Supporting Context-aware Applications through World Models
PERCOM '04 Proceedings of the Second IEEE International Conference on Pervasive Computing and Communications (PerCom'04)
A service-oriented middleware for building context-aware services
Journal of Network and Computer Applications
ACAI: agent-based context-aware infrastructure for spontaneous applications
Journal of Network and Computer Applications
A Context Ontology for Pervasive Service Provision
AINA '06 Proceedings of the 20th International Conference on Advanced Information Networking and Applications - Volume 02
Managing Context Information in Mobile Devices
IEEE Pervasive Computing
Response time in man-computer conversational transactions
AFIPS '68 (Fall, part I) Proceedings of the December 9-11, 1968, fall joint computer conference, part I
A middleware for context-aware agents in ubiquitous computing environments
Proceedings of the ACM/IFIP/USENIX 2003 International Conference on Middleware
A framework for incremental construction of real global smart space applications
Pervasive and Mobile Computing
ERCIM'06 Proceedings of the 9th conference on User interfaces for all
An approach to domain-based scalable context management architecture in pervasive environments
Personal and Ubiquitous Computing
Context data management: an architectural framework for context-aware services
Service Oriented Computing and Applications
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Pervasive computing aims to unobtrusively embed computer systems into everyday life environments to enrich the user experience without demanding the user's explicit attention. For pervasive computing to be minimally invasive, computer systems must be conscious of and ultimately, be able to act according to the context of the user and her intelligent environment. However, such context is often heterogeneous as it is derived from myriads of independent systems and sensors, can be incomplete, and may even be erroneous. For independent systems to manage, share, correlate, and reason over context, contextual information must be modelled in a homogenous fashion. This paper proposes a hybrid approach to modelling contextual information that incorporates the management and communication benefits of traditional object-oriented context models, while also taking advantage of the semantic and inference benefits of ontology-based context models. Unlike other approaches, our hybrid model has been designed to support a specific large-scale pervasive domain, namely the transportation domain, and promotes exploiting primary context as the key to accessing and correlating distributed knowledge. The Primary-Context Model and the Primary-Context Ontology are part of a pervasive middleware architecture for integrating independent Intelligent Transport Systems and pervasive transportation services and has been applied to a prototypical realisation of such system and service integration.