DBpedia Mobile is a location-aware client for the Semantic Web that can be used on an iPhone and other mobile devices. Based on the current GPS position of a mobile device, DBpedia Mobile renders a map indicating nearby locations from the DBpedia dataset. Starting from this map, the user can explore background information about his surroundings by navigating along data links into other Web data...

Data availability is an important issue in mobile computing environments. Both distributed data management systems and mobile storage devices, such as USB-flash drives, are used to allow users ubiquitous access to their data, but both solutions have their shortcomings. In this paper, we present the FEW Phone File System, a system designed to allow users to access their personal data independent...

This paper is focused on the analysis of randomness sources available in current mobile phones. We discuss specifics of the mobile devices, identify potential sources of randomness, and define types of possible attackers. An analysis of a camera and a microphone input noise as a source of randomness has been performed and amount of available entropy estimated. We then also statistically tested ...

The rapid development of mobile computing devices along with a variety of Web 2.0 social networking tools has led to a dramatic change in the way maps and other spatial displays are utilized. The evolution from stand-alone desktop GIS to the interactive, mobile devices, in which information from one or more sources and is sent to one or more sinks, is discussed. The result is access to real-tim...

Mobile applications have evolved to become extensions of enterprise applications and systems that often interact with remote data sources and databases. Two software architectural approaches have emerged as the primary ways to develop mobile applications accessing remote data sources: client-agent-server and client-interceptserver. Both make use of middleware with the main difference being in t...

The emergence of pervasive networked data sources, such as web services, sensors, and mobile devices, enables context-sensitive, mobile applications. We have developed a programming model for writing such applications, in which entities called composers accept data from one or more sources, and act as sources of higher-level data. We have defined and implemented a nonprocedural language, iQL, s...

The quantified-self movement entails self-tracking of physical activity, often using wearable devices and mobile applications. In parallel, mobile applications focusing on mental health are increasingly popular, and they often rely on active user input to track the user progress and to deliver feedback and motivation. In this paper we discuss the potential benefits of bridging these two distinc...

BACKGROUND Societal instability and crises can cause rapid, large-scale movements. These movements are poorly understood and difficult to measure but strongly impact health. Data on these movements are important for planning response efforts. We retrospectively analyzed movement patterns surrounding a 2010 humanitarian crisis caused by internal political conflict in Côte d'Ivoire using two diff...