Cross-community context management in Cooperating Smart Spaces

  • Authors:
  • Nikos Kalatzis;Nicolas Liampotis;Ioanna Roussaki;Pavlos Kosmides;Ioannis Papaioannou;Stavros Xynogalas;Daqing Zhang;Miltiades Anagnostou

  • Affiliations:
  • National Technical University of Athens (NTUA), Athens, Greece;National Technical University of Athens (NTUA), Athens, Greece;National Technical University of Athens (NTUA), Athens, Greece;National Technical University of Athens (NTUA), Athens, Greece;National Technical University of Athens (NTUA), Athens, Greece;Ambient Intelligence Informatics and Telecommunications (AMITEC) LTD, Athens, Greece;Institute TELECOM SudParis, Evry, France;National Technical University of Athens (NTUA), Athens, Greece

  • Venue:
  • Personal and Ubiquitous Computing
  • Year:
  • 2014

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Abstract

Recently, social networks have become the most prevalent IT paradigm, as the vast majority of Internet users maintain one or multiple social networking accounts. These accounts, irrespectively of the underlying service, contain rich information and data for the owner's preferences, social skills, everyday activities, beliefs and interests. Along with these services, the computation, sensing and networking capabilities of the state of the art mobile and portable devices, with their always-on mode, assist users in their everyday lives. Thus, the integration of social networking services with current pervasive computing systems could provide the users with the potential to interact with other users that have similar interests, preferences and expectations; and in general, the same or similar context, for limited or not time periods, in order to ameliorate their overall experience, communicate, socialise and improve their everyday activities with minimal effort. This paper introduces a cross-community context management framework that is suitable for Cooperating Smart Spaces, which couple the advantages of pervasive computing and social networking. This framework goes beyond the state of the art, among others, in that cross-community context from a multitude of sources is collected and processed to enhance the end user experience and increase the perceived value of the services provided.