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The ubiquity of mobile devices and the popularity of location-based-services have generated, for the first time, rich datasets of people's location information at a very high fidelity. These location datasets can be used to study people's behavior - for example, social studies have shown that people, who are seen together frequently at the same place and at(More)
As the popularity of social networks is continuously growing, collected data about online social activities is becoming an important asset enabling many applications such as target advertising, sale promotions, and marketing campaigns. Although most social interactions are recorded through online activities, we believe that social experiences taking place(More)
As the popularity of social networks is continuously growing, collected data about online social activities is becoming an important asset enabling many applications such as target advertising, sale promotions, and marketing campaigns. Although most social interactions are recorded through online activities, we believe that social experiences taking place(More)
This paper describes a system, Mr.Web, designed to interact with users over email to create and update Web pages. Our goal is that users interact with Mr.Web as if it were a human Webmaster. We collected 325 examples of people writing email requests to a Webmaster, and used this to generate the semantics of Mr.Web's email parser. The results of the survey(More)
DTGolog, a decision-theoretic agent programming language based on the situation calculus, was proposed to ease some of the computational difficulties associated with Markov Decision Processes (MDPs) by using natural ordering constraints on execution of actions. Using DTGolog, domain specific constraints on a set of policies can be expressed in a high-level(More)
The advent of geolocation technologies has generated unprecedented rich datasets of people’s location information at a very high fidelity. These location datasets can be used to study human behavior; for example, social studies have shown that people who are seen together frequently at the same place and same time are most probably socially related.(More)
This paper describes our work of applying modern software engineering methodologies such as Model-Driven Development and Product-Line Engineering to the development and maintenance of technical supporting systems in the domain of Search and Rescue. We propose an extensible, domain-specific, graphical modeling language and toolset that allow software(More)