Abstract:Adaptive Web information systems need to exploit information about the context of the chent in order to dehver, in an appropriate way, relevant information. In this paper, we present a general approach to this problem that is able to handle heterogeneous context information and different coordinates of adaptation. The approach is based on a general notion of profile that can be used to represent a variety of contexts at different level of details. Client profiles, possibly expressed in different formats, are w… Show more
EditorialSUMMER 2015 3 T he changes brought about by the ubiquity of smartphones and social media are just a small foretaste of changes to come. Soon people will be carrying devices and working in environments that understand not only our personal declarative and demographic facts (information stored in datebooks, calendars, and social media) but also have a deep understanding of the context and intent of our day-to-day activities. The last 10 years have seen the development of novel architectures and technologies for domainfocused, task-specific systems that know many things, such as who (identities, profile, history) they are with (social context) and in what role (responsibility, security, privacy); when and where (event, time, place); why (goals, shared or personal); how are they doing it (methods, applications); and using what resources (device, services, access, and ownership).Smart spaces and devices will increasingly use such contextual knowledge to help users move seamlessly between devices and applications, without having to explicitly carry, transfer, and exchange activity context. Such systems will qualitatively shift our lives both at work and play and significantly change our interactions both with our physical and virtual worlds.This dream of seamlessly interacting with our virtual environment has a long history as can be seen in Apple Inc.'s Knowledge Navigator 1987 concept video. However, the combination of dramatic progress in low-power mobile computing devices and sensors, with advances in artificial intelligence and human-computer interaction (HCI) in the last decade, have provided the kind of platforms and algorithms that are enabling context-aware virtual personal assistants that plan activities and recognize intent. This has lead to an increase in work designed to bring these ideas into real world application and address the final technical hurdles that will make such systems a reality.Example
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.