Effective manipulation of context is very important in providing the context-aware services. In recent years, a variety of context models have been proposed to p roperly handle the key aspects of the context, while focusing on scenario-based acquisition, management, and representation of context. However, they are difficult to be employed for the agent-based system requiring distributed reasoni...

The main characteristic of devices in a pervasive (or ubiquitous) computing system is their context awareness which allows them to provide proactively adapted services to user and to applications according to the global context. In order to support the development and to ease the implementation of context-aware systems, many architectures were proposed with characteristics related to the applic...

Computing applications for among others well-being and health become increasingly advanced as a result of their sensor-based awareness of the context in which they are used. Context-aware applications have the potential of providing enriched services to their users, i.e. services that are appropriate for the context at hand. A challenge for the design of context-aware applications is to identif...

The Intelligent Systems Group’s mission is to carry out leading edge long-term research on intelligent systems technology. We concentrate on mobile and context-aware systems, data mining methods and secure programming. Our aim is to increase systematically our methodological understanding and to develop components for an intelligent environment that gives versatile services to its inhabitants.

In this paper, we examine the Multiagent Systems Engineering (MaSE) methodology and its applicability to developing organization-based multiagent systems, which are especially relevant to context aware systems. We discuss the inherent shortcomings of MaSE and then present our approach to modeling the concepts required for organizations including goals, roles, agents, capabilities, and the assig...

Infrastructures are persistent socio-technical systems used to deliver different kinds of services. Researchers have looked into how awareness of infrastructures in the areas of sustainability [6, 10] and software appropriation [11] can be provided. However, designing infrastructure-aware systems has specific requirements, which are often ignored. In this paper we explore the challenges when de...

Nowadays, context-aware systems are developed by gathering context data and adapting systems behavior accordingly. The purpose of this paper is to examine four architectural pattern context-aware systems in terms of the ability to be implemented. The pattern which can overcome the complexity of these systems and can be more extensible is better to be implemented. This paper is based on a review...

Many of the most complex service systems being built and imagined today combine person-to-person encounters, technology-enhanced encounters, self-service, computational services, multi-channel, multi-device, and location-based and context-aware services. This paper examines the characteristic concerns and methods for these seven different design contexts to propose a unifying view that spans th...

We present a semantically-driven approach to uncertainties within and across ontologies. Ontologies are widely used not only by the Semantic Web but also by artificial systems in general. They represent and structure a domain with respect to its semantics. Uncertainties, however, have been rarely taken into account in ontological representation, even though they are inevitable when applying ont...

To satisfy service customers and create unique value in a digitized world, companies must strive for exceeding customers’ expectations of e-service experience by establishing high e-service quality. However, an increasing amount of e-services is performed by context-aware mobile technology, which is able to sense and react to changes in the user’s environment. Although these context-aware servi...