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Empowered smart objects have become a part of people everyday activities due to the evolution of pervasive computing technologies. In such scenario context awareness plays a fundamental role in enabling adaptation and contextual services. Up to now a lot of efforts have been done in representing context information such as location, time and users identity. At the same time not much attention has...
Context-aware applications are becoming commonplace in everyday life thanks to recent advances in mobile devices, sensor capabilities and wireless communication networks. However, making the manipulation of context information efficient is still an important issue. Taking into account the quality of context data becomes a corner stone of an efficient context management. In this paper, we argue for...
Smart objects are gradually integrating into people's everyday life. While many context-aware solutions for pervasive computing environments do not consider users social aspects, we believe smart objects should be social-aware. So Smart aims at filling the gap in social understanding of the user environment, presenting an ontology based context model to support social context representation and automated...
Context awareness service is one of the key features in ubiquitous computing system. In heterogeneous pervasive computing system, effective context modeling and reasoning are important to enable the collaboration and distributed reasoning among the agents. The effectiveness of the previous approaches for distributed reasoning significantly degrades when a large number of agents are involved. In order...
Cars have become an increasingly important and exciting test bed for ubiquitous computing. However, smart car space is still little addressed in the literature to enable high adaptation in a mobile and resource-limited space. This paper focuses on building a context-aware software infrastructure for smart car space in middleware framework. To support context-awareness, we embed capabilities of context...
The OWL 1has been as a modeling language to formalize context-awareness pervasive environments. And also, various kinds of context ontologies in the OWL are proposed to conceptualize the entities for describing pervasive computing environments. With increasingly considering about spatial and temporal expressive capabilities and properties related for pervasive computing, these approaches provide some...
The existing reminder system uses limited context information and has limited functions, so it can't meet users ' needs. This paper presents intelligent business assistant based on context-aware computing platform in a grid computing environment. The platform uses the context modeling and reasoning technology and analyzes the system in the grid environment. At last, the intelligent business assistant...
Agent reasoning in large scale multi-agent systems requires techniques which often work with uncertainty and probability. In our research, we use trust and reputation principles to support agent reasoning and decisioning. Information about agents past behaviour and their qualities are transformed to multi-context trust. It allows to view a single agent from different point of views, because agents...
Information foraging and sensemaking with heterogeneous information are context-dependent activities. Thus visual analytics tools to support these activities must incorporate context. But, context is a difficult concept to define, model, and represent. Creating and representing context in support of visually-enabled reasoning about complex problems with complex information is a complementary but different...
Traffic congestion is the cause of pollution and economic loss. The Real time traffic state report can alleviate this problem by assisting drivers for route planning and choosing unblocked roads. More traffic information could lead to more accurate route planning and greater awareness of traffic situations and road conditions for drivers. However, investment into sensor infrastructure for small minor...
The interacting entities in web service usually can't be predetermined and may be in different security domains. To address the access authorization for unknown users across domain borders, access control of web service should be performed based on the domain-independent access control information but not the identities. In this paper, a context and role based access control policy model is proposed...
Place names have been one of the most commonly-preferred georeferencing systems used to communicate geographically-specific information in our daily lives. Gazetteers as specialized geographical information systems bridge the gap between textual place names and geospatial locations. Most place names in gazetteers are thought of as administrative regions and described with official names. However,...
In present day globalised trade, the ability to support collaboration through B2B (Business-to-Business) services is crucial. One of the key challenges is to pervasively connect partners across the entire value chain, with the appropriate service offerings. Thus, it is vital to quickly identify potential partners to form new B2B collaborations or to support formed collaborations with swift decision...
Some types of contextual information are more important than others for inferring a situation of the patient in home-based care. The weight of this information may be changed due to the variations of the sensed values over time. Some researches applied a static weighting based fusion process to their systems to model these variations. However, this fusion process sometimes reduces the reliability...
Network management has suffered from increases in business, system, and operational complexity. This has been exacerbated by the heterogeneity in management data as well as the high quality requirements of multimedia services. Autonomic networking manages this growing complexity by adding intelligence inside network nodes and network management applications. While most autonomic applications simply...
Context aware systems use context information to adapt their behaviour accordingly. In order to derive high level context information from low level context, such as sensor values, context reasoning methods that correlate observable context information, are necessary. Several context reasoning mechanisms have been proposed in the literature. Usually these mechanisms are centralized, leading to suboptimal...
There are numerous implementations of context aware application frameworks. Knowledge is being inferred in diverse ways across numerous platforms. A disappointing observation is the limited reuse of context reasoning and knowledge. From the perspective of a new context aware application developer, existing frameworks may not be sufficient for the following reasons: i) insufficient knowledge representation...
The imperfect nature of context in Ambient Intelligence environments and the special characteristics of the entities that possess and share the available context information render contextual reasoning a very challenging task. The accomplishment of this task requires formal models that handle the involved entities as autonomous logic-based agents and provide methods for handling the imperfect and...
The context in intelligent domotic home (IDH) is very complicated. In this paper, in order to achieve the context-aware ability based on the DOG (domotic OSGi gateway) which is desiged for IDH, not only the information about the domotic devices and the building components, but also the characteristics and behaviors of users are concerned as the context. According to the context, a new context ontology...
In Ambient Intelligence (AmI), reasoning is fundamental for identifying specific situations that may be meaningful and relevant to some applications. As in such systems usually not all context data is readily available to all reasoners within a system, these reasoning operations may need to evaluate context data collected from distributed sources and stored on different devices. This work proposes...
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