Abstract
Determining the context of what a mobile user is doing currently, and in the near future is central to personalizing a user’s experience to what is most relevant to them. Numerous methods and data sources have been used to try and garner this information such as GPS traces, social network data, and semantic information to name a few. In this paper we propose an architecture for combining various forms of data and processing into a service for providing a mobile user’s context to applications. The goal of this work is to establish an architecture that can provide a more complete model of the information relevant to a mobile user and making this data available to interested applications.
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Williams, C., Mathew, J. (2015). An Architecture for Mobile Context Services. In: Sobh, T., Elleithy, K. (eds) Innovations and Advances in Computing, Informatics, Systems Sciences, Networking and Engineering. Lecture Notes in Electrical Engineering, vol 313. Springer, Cham. https://doi.org/10.1007/978-3-319-06773-5_9
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DOI: https://doi.org/10.1007/978-3-319-06773-5_9
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