Skip to main content
SpringerLink
Log in

Cross-community context management in Cooperating Smart Spaces

  • Original Article
  • Published:
Personal and Ubiquitous Computing Aims and scope Submit manuscript

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11

Similar content being viewed by others

References

  1. Kietzmann J, Silvestre B, McCarthy I, Pitt L (2012) Unpacking the social media phenomenon: towards a research agenda. J Public Aff 12(2):109–119. doi:10.1002/pa.1412

    Article  Google Scholar 

  2. Lin KY, Lu HP (2011) Why people use social networking sites: an empirical study integrating network externalities and motivation theory. Comput Hum Behav 27(3):1152–1161. doi:10.1016/j.chb.2010.12.009

    Article  Google Scholar 

  3. Obaidat M, Denko M, Woungang I (2011) Pervasive computing networks, 1st edn. Wiley, West Sussex

    Book  Google Scholar 

  4. Hansmann U, Merk L, Nicklous M, Stober T (2012) Pervasive computing: the mobile world, 2nd edn. Springer, Berlin

    Google Scholar 

  5. Doolin K, Roussaki I, Roddy M, Kalatzis N, Papadopoulou E, Taylor NK, Liampotis N, McKitterick D, Jennings E, Kosmides P (2012) SOCIETIES: where pervasive meets social. In: Future internet assembly book 2012, pp 30–41

  6. Roussaki I, Kalatzis N, Liampotis N, Kosmides P, Anagnostou M, Doolin K, Jennings E, Bouloudis Y, Xynogalas S (2012) Context-awareness in wireless and mobile computing revisited to embrace social networking. Commun Mag IEEE 50(6):74–81. doi:10.1109/mcom.2012.6211489

    Article  Google Scholar 

  7. Kang S, Kim W, Lee D, Lee Y (2005) Group context-aware service discovery for supporting continuous service availability. In: Proceedings of ubiPCMM 2005, Tokyo, Japan, pp 62–63

  8. Marin-Perianu RS, Marin-Perianu M, Havinga PJ, Scholten J (2007) Movement-based group awareness with wireless sensor networks. In: Proceedings of pervasive 2007, Toronto, Canada, pp 298–315

  9. Hussein T, Linder T, Gaulke W, Ziegler J (2010) A framework and an architecture for context-aware group recommendations. In: Proceedings of CRIWG 2010, Maastricht, Netherlands, pp 121–128

  10. Bottazzi D, Corradi A, Montanari R (2005) A context-aware group management middleware to support resource sharing in MANET environments. In: Proceedings of MDM 2005, Ayia Napa, Cyprus, pp 147–151

  11. Chong C, Nishio N (2007) GRECOM: group context management middleware for group event based services. In: Proceedings of UbiComp 2007, Innsbruck, Austria, pp 176–179

  12. Biamino G (2011) Modeling social contexts for pervasive computing environments. In: Proceedings of PerCom 2011, IEEE, Lugano, Switzerland, pp 415–420

  13. Beach A, Gartrell M, Akkala S, Elston J, Kelley J, Nishimoto K, Ray B, Razgulin S, Sundaresan K, Surendar B, Terada M, Han R (2008) WhozThat? Evolving an ecosystem for context-aware mobile social networks. Netw IEEE 22(4):50–55. doi:10.1109/MNET.2008.4579771

    Article  Google Scholar 

  14. Messeguer R, Navarro L, Reyes A (2007) Group-awareness for mobile cooperative learning. In: Proceedings of WMUTE 2007, IEEE, Athens, Greece, pp 74–81

  15. Ferscha A, Holzmann C, Oppl S (2004) Context awareness for group interaction support. In: Proceedings of MobiWac 2004, Philadelphia, PA, USA, pp 88–97

  16. Guo B, Zhang D, Wang Z, Yu Z, Zhou X (2013) Opportunistic IoT: exploring the harmonious interaction between human and the internet of things. J Netw Comput Appl. doi:10.1016/j.jnca.2012.12.028

    Google Scholar 

  17. Jung JJ (2008) Ontology-based context synchronization for ad hoc social collaborations. Elsevier Knowledge Based System Journal 21(7):573–580. doi:10.1016/j.knosys.2008.03.015

    Article  Google Scholar 

  18. Song J, Kim S (2008) Community based context-aware information for the intelligent personalized information service. Int J Multimed Ubiquitous Eng 3(3):23–30

    Google Scholar 

  19. Beach A, Gartrell M, Xing X, Han R, Lv Q, Mishra S, Seada K (2010) Fusing mobile, sensor, and social data to fully enable context-aware computing. In: Proceedings of HotMobile 2010, Annapolis, MD, USA, pp 60–65

  20. Guo B, Zhang D, Yu Z, Zhou X, Zhou Z (2012) Enhancing spontaneous interaction in opportunistic mobile social networks. Commun Mob Comput 1. doi:10.1186/2192-1121-1-6

  21. Coutand O, Droegehorn O, David K, Nurmi P, Floréen P, Kernchen R, Holtmanns S, Campadello S, Kanter T, Martin M, van Eijk R, Guarneri R (2005) Context-aware group management in mobile environments. In: Proceedings of IST summit 2005, Dresden, Germany

  22. Roussaki I, Liampotis N, Kalatzis N, Frank K, Hayden P (2009) How to make personal smart spaces context-aware. In: Proceedings of AISB 2009, Edinburgh, Scotland, pp 26–32

  23. Eagle N, Pentland A, Lazer D (2008) Mobile phone data for inferring social network structure. In: Social computing, behavioral modeling, and prediction. Springer, US, pp 79–88

  24. Powers DMW (2011) Evaluation: from precision, recall and f-measure to roc, informedness, markedness & correlation. J Mach Learn Technol 2(1):37–63

    MathSciNet  Google Scholar 

Download references

Acknowledgments

The research leading to these results has received funding from the European Community’s 7th Framework Programme [FP7/2007-2013] under grant agreement no 257493 of the SOCIETIES (Self Orchestrating CommunIty ambiEnT IntelligEnce Spaces) Integrated Project. However, this paper expresses the authors’ views, which are not necessarily those of the project consortium.

Author information

Authors and Affiliations

  1. National Technical University of Athens (NTUA), Athens, Greece

    Nikos Kalatzis, Nicolas Liampotis, Ioanna Roussaki, Pavlos Kosmides, Ioannis Papaioannou & Miltiades Anagnostou

  2. Ambient Intelligence Informatics and Telecommunications (AMITEC) LTD, Athens, Greece

    Stavros Xynogalas

  3. Institute TELECOM SudParis, Evry, France

    Daqing Zhang

Authors
  1. Nikos Kalatzis
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Nicolas Liampotis
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ioanna Roussaki
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Pavlos Kosmides
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Ioannis Papaioannou
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Stavros Xynogalas
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Daqing Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Miltiades Anagnostou
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ioanna Roussaki.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Kalatzis, N., Liampotis, N., Roussaki, I. et al. Cross-community context management in Cooperating Smart Spaces. Pers Ubiquit Comput 18, 427–443 (2014). https://doi.org/10.1007/s00779-013-0654-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00779-013-0654-2

Keywords

Search

Navigation