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A Context-Aware Web Content Generator Based on Personal Tracking

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7236))

Abstract

Context-awareness has been successfully included in the mobile phone applications due mainly to the presence of numerous sensors and the access to several communication networks. Therefore, we present a Context-Aware Web Content Generator Based on Personal Tracking, which uses the user context information obtained by mobile devices to generate content for a large number of web applications. While registering the trajectory followed by the mobile device, it allows users to create multimedia documents (e.g. photo, audio, video), which are connected to an enriched description of the user context (e.g. weather, location, date). Finally, all this data and documents are combined to produce a new content, which is published on the Web. We also show results of tests performed in a real scenario and describe our strategy to avoid battery overconsumption and memory overflow in mobile phones. Moreover, a user evaluation is presented in order to measure the system performance, in terms of precision and system overall usability.

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Braga, R.B., de Moraes Medeiros da Costa, S., de Carvalho, W.V., de Castro Andrade, R.M., Martin, H. (2012). A Context-Aware Web Content Generator Based on Personal Tracking. In: Di Martino, S., Peron, A., Tezuka, T. (eds) Web and Wireless Geographical Information Systems. W2GIS 2012. Lecture Notes in Computer Science, vol 7236. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29247-7_11

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  • DOI: https://doi.org/10.1007/978-3-642-29247-7_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29246-0

  • Online ISBN: 978-3-642-29247-7

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