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Development of context-aware applications is inherently complex. These applications adapt to changing context information: physical context, computational context , and user context/tasks. Context information is gathered from a variety of sources that differ in the quality of information they produce and that are often failure prone. The pervasive computing(More)
Context simplifies and enriches human-human interaction. However, enhancing human-computer interaction through the use of context remains a difficult task. Applications in pervasive and mobile environments need to be context-aware so that they can adapt themselves to rapidly changing situations. One of the problems is that there is no common, reusable model(More)
We envision a future where people's living spaces are interactive and programmable. Users interact with their offices, homes, cars, malls and airports to request information, benefit from the resources available, and configure the habitat's behavior. Data and tasks are always accessible and are mapped dynamically to convenient resources present in the(More)
Pervasive computing advocates the enhancement of physical spaces with computing and communication resources that help users perform various kinds of tasks. We call these enhanced physical spaces Active Spaces. Active Spaces are highly dynamic - the context and resources available in these environments can change rapidly. The large number of entities present(More)
The problem of point-to-point fastest path computation in static spatial networks is extensively studied with many precomputation techniques proposed to speed-up the computation. Most of the existing approaches make the simplifying assumption that travel-times of the network edges are constant. However , with real-world spatial networks the edge(More)
M ark Weiser envisioned computing environments that are pervaded with so many computing devices and sensors that they seem to disappear into the background, allowing humans to focus on daily tasks rather than on underlying technologies. 1 To enable this vision, we must transform today's " dumb, " context-insensitive, and isolated machines into intelligent,(More)
Ubiquitous computing has fueled the idea of constructing sentient, information-rich "smart spaces" that extend the boundaries of traditional computing to encompass physical spaces, embedded devices, sensors, and other machinery. To achieve this, smart spaces need to capture situational information so that they can detect changes in context and adapt(More)
With the widespread adoption of location tracking technologies like GPS, the domain of intelligent transportation services has seen growing interest in the last few years. Services in this domain make use of real-time location-based data from a variety of sources, combine this data with static location-based data such as maps and points of interest(More)
With the emergence of Yahoo Pipes and several similar services, data mashup tools have started to gain interest of business users. Making these tools simple and accessible ton users with no or little programming experience has become a pressing issue. In this paper we introduce MARIO (Mashup Automation with Runtime Orchestration and Invocation), a new tool(More)