A Domestic Application of Intelligent Social Computing: The SandS Project

  • Manuel Graña
  • Ion Marqués
  • Alexandre Savio
  • Bruno Apolloni
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 239)


This paper introduces principal ideas of new ways to mediate the interaction between users and their domestic environment, namely the set of household appliances owned by the user. These ideas are being developed in the framework of the Social and Smart (SandS) project, which elaborates on the idea of a social network of home appliance users that exchange information and insights about the use of their appliances. This interaction constitutes the conscious social computing layer of the system. The system has a subconscious computing layer consisting of a networked intelligence that strives to provide innovative solutions to user problems, so that the system goes beyond being a recollection of appliance recipes. This paper discusses the structure of the system, as well as some data representation issues that may be instrumental to its development, as part of the development work leading to the final implementation of the project ideas.


Social Player Household Appliance Graph Database Semantic Domain Network Intelligence 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Apolloni, B., Fiasche, M., Galliani, G., Zizzo, C., Caridakis, G., Siolas, G., Kollias, S., Grana Romay, M., Barriento, F., San Jose, S.: Social things - the sands instantiation. In: IoT-SoS 2013. IEEE (2013)Google Scholar
  2. 2.
    Atzori, L., Iera, A., Morabito, G., Nitti, M.: The social internet of things (siot) – when social networks meet the internet of things: Concept, architecture and network characterization. Computer Networks 56, 3594–3608 (2012)CrossRefGoogle Scholar
  3. 3.
    Robinson, J.W.I., Eifrem, E.: Graph Databases, 1st edn. O’Reilly (April 11, 2013) (early release revision)Google Scholar
  4. 4.
    Jippes, E., Achterkamp, M.C., Brand, P.L.P., Kiewiet, D.J., Pols, J., van Engelen, J.M.L.: Disseminating educational innovations in health care practice: Training versus social networks. Social Science & Medicine 70(10), 1509–1517 (2010)CrossRefGoogle Scholar
  5. 5.
    Kiesel, N., Schuerr, A., Westfechtel, B.: Gras, a graph-oriented (software) engineering database system. Information Systems 20(1), 21–51 (1995)CrossRefGoogle Scholar
  6. 6.
    Kratzer, J., Leenders, R.T.A.J., van Engelen, J.M.L.: A social network perspective on the management of product development programs. The Journal of High Technology Management Research 20(2), 169–181 (2009)CrossRefGoogle Scholar
  7. 7.
    Oreszczyn, S., Lane, A., Carr, S.: The role of networks of practice and webs of influencers on farmers’ engagement with and learning about agricultural innovations. Journal of Rural Studies 26(4), 404–417 (2010)CrossRefGoogle Scholar
  8. 8.
    Vannoy, S.A., Palvia, P.: The social influence model of technology adoption. Commun. ACM 53(6), 149–153 (2010)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Manuel Graña
    • 1
  • Ion Marqués
    • 1
  • Alexandre Savio
    • 1
  • Bruno Apolloni
    • 2
  1. 1.Grupo de Inteligencia Computacional (GIC)Universidad del País VascoBilbaoSpain
  2. 2.Dept. of Computer ScienceUniversity of MilanoMilanoItaly

Personalised recommendations