Context Modelling and Management in Ambient-Aware Pervasive Environments

Abstract

Abstract. Services in pervasive computing systems must evolve so that they become minimally intrusive and exhibit inherent proactiveness and dynamic adaptability to the current conditions, user preferences and environment. Context awareness has the potential to greatly reduce the human attention and interaction bottlenecks, to give the user the impression that services fade into the background, and to support intelligent personalization and adaptability features. To establish this functionality, an infrastructure is required to collect, manage, maintain, synchronize, infer and disseminate context information towards applications and users. This paper presents a context model and ambient context management system that have been integrated into a pervasive service platform. This research is being carried out in the DAIDALOS IST Integrated Project for pervasive environments. The final goal is to integrate the platform developed with a heterogeneous all-IP network, in order to provide intelligent pervasive services to mobile and non-mobile users based on a robust context-aware environment.

Managing Dynamic Context to Optimize Smart Interactions and Services

“…Object-oriented models are based on the object-oriented paradigm to face the representation of dynamic characteristics of context [13], [14]. Meta-model-based models emerged recently in Model Driven Engineering (MDE) domains to support the dynamic generation of new model instances based on meta-models defined at design-time [15], [16], [17], [18]. Logic-based and ontology-based models are used to define formal specifications of context entities and the relations among them in a particular domain [19], [20].…”

Personalizable Service Discovery in Pervasive Systems

“…Without entering in detail, we assume that both Context Information and Context Requirements will be described using ontologies and all context information issues will be managed by a Context Manager (for more details see [26]) that stores context information produced by the context sources, delivers context information to external applications that need it, provides filtering policies to select the context information to obtain and offers a Publisher-Subscriber mechanism to register for specific context information. The overview of the overall context management architecture is depicted in Fig.…”

Context-Aware Service Composition in Pervasive Computing Environments

“…But, data ambiguity must be solved by applications, complex relationships between data can not be defined, and a more formal definition of context can not be expressed. Another approach to model context, lies in using object-oriented concepts [26]. Object-oriented modeling allows defining a structured and scalable context model.…”