Context data management: an architectural framework for context-aware services

  • Authors:
  • Paolo Falcarin;Massimo Valla;Jian Yu;Carlo Alberto Licciardi;Cristina Frà;Luca Lamorte

  • Affiliations:
  • ACE - School of Architecture, Computing and Engineering, University of East London, London, UK E16 2RD;Innovation & Industry Relations - Research & Prototyping, Telecom Italia, Torino, Italy 10148;Faculty of Information & Communication Technologies, Swinburne University of Technology, Hawthorn, Australia;Innovation & Industry Relations - Research & Prototyping, Telecom Italia, Torino, Italy 10148;Innovation & Industry Relations - Research & Prototyping, Telecom Italia, Torino, Italy 10148;Innovation & Industry Relations - Research & Prototyping, Telecom Italia, Torino, Italy 10148

  • Venue:
  • Service Oriented Computing and Applications
  • Year:
  • 2013

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Abstract

Mobile devices are equipped with increasing processing power and sensing capabilities, and mobile services can benefit from these features to provide a more personalized and context-aware experience to final users. To efficiently collect and deliver context information, a proper architecture is required, where heterogeneous context information can be processed to provide higher-level context information, context data are represented uniformly, and applications can process context data with high-level queries. This paper fulfils this goal of interoperability and domain independence by defining a framework for context data management relying on open standards (XMPP and REST), acting as an enabler for third-party context-aware applications; other main novelties of our work are the definition of a ContextML for standard context data representation, and a Context Query Language (CQL) to access context information based on high-level data filtering.