Skip to main content
SpringerLink
Log in

An Ontology-Based Autonomic System for Ambient Intelligence Scenarios

  • Chapter
  • First Online:
Advances onto the Internet of Things

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 260))

Abstract

Pervasive computing and Ambient Intelligence (AmI) demonstrate that computer systems which directly interact with users are characterized by increasing size and complexity, so that the human user will still not be able to adequately manage them for a long time to come. As a response to this trend, the Autonomic Computing paradigm aims to design and develop systems able to self-configure and self-manage. The research reported here is part of an AmI project that proposes a multi-tier cognitive architecture for aggregating sensory information at different levels of abstraction. In such an architecture, a central reasoning component is able to understand the environmental state and the user’s preferences and consequently to plan the opportune actions to be performed. This chapter describes an ontology able to provide a formal representation of the environment in which the AmI system is placed, as well as a representation of the system itself and of its interaction with the environment. By exploiting this knowledge, the AmI system can develop consciousness of itself and of its cognitive processes, and consequently the capability of autonomously managing its own functioning. In particular, this task is performed by a rule-based planning module, integrated within the multi-level architecture, and capable of managing and configuring the sensory infrastructure. By means of this module, the AmI system can manage its own monitoring activity to obtain a good understanding of the context while minimizing system energy consumption.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Atzori, L., Iera, A., Morabito, G.: The internet of things: a survey. Comput. Netw. 54(15), 2787–2805 (2010)

    Google Scholar 

  2. Cook, D., Augusto, J., Jakkula, V.: Ambient intelligence: technologies, applications, and opportunities. Pervasive Mobile Comput. 5(4), 277–298 (2009)

    Article  Google Scholar 

  3. Crapanzano, C., Milazzo, F., De Paola, A., Lo Re, G.: Reputation management for distributed service-oriented architectures. In: 2010 Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshop (SASOW), pp. 160–165 (2010)

    Google Scholar 

  4. De Paola, A., Farruggia, A., Gaglio, S., Lo Re, G., Ortolani, M.: Exploiting the human factor in a WSN-based system for ambient intelligence. In: International Conference on Complex, Intelligent and Software Intensive Systems, 2009 (CISIS ’09), pp. 748–753 (2009)

    Google Scholar 

  5. De Paola, A., Gaglio, S., Lo Re, G., Ortolani, M.: An ambient intelligence architecture for extracting knowledge from distributed sensors. In: Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human, pp. 104–109 (2009)

    Google Scholar 

  6. De Paola, A., Gaglio, S., Lo Re, G., Ortolani, M.: Sensor9k: a testbed for designing and experimenting with WSN-based ambient intelligence applications. Pervasive Mobile Comput. 8(3), 448–466 (2012)

    Article  Google Scholar 

  7. Doctor, F., Hagras, H., Callaghan, V.: A fuzzy embedded agent-based approach for realizing ambient intelligence in intelligent inhabited environments. IEEE Trans. Syst. Man Cybern. Part A Syst. Hum. 35(1), 55–65 (2005)

    Article  Google Scholar 

  8. Ducatel, K., Bogdanowicz, M., Scapolo, F., Leijten, J., Burgelman, J.C.: Scenarios for ambient intelligence in 2010. Office for Official Publications of the European, Communities (2001)

    Google Scholar 

  9. Farruggia, A., Lo Re, G., Ortolani, M.: Probabilistic anomaly detection for wireless sensor networks. In: AI*IA 2011: Artificial Intelligence Around Man and Beyond, Lecture Notes in Computer Science, vol. 6934, pp. 438–444. Springer, Berlin Heidelberg (2011)

    Google Scholar 

  10. Friedman, E.: Jess in action: rule-based systems in Java. Manning Publications Co., Greenwich (2003)

    Google Scholar 

  11. Gennari, J., Musen, M., Fergerson, R., Grosso, W., Crubézy, M., Eriksson, H., Noy, N., Tu, S.: The evolution of Protégé: an environment for knowledge-based systems development. Int. J. Hum. Comput. Stud. 58(1), 89–123 (2003)

    Article  Google Scholar 

  12. Gruber, T.: A translation approach to portable ontology specifications. Knowl. Acquisition 5(2), 199–220 (1993)

    Article  Google Scholar 

  13. Gu, T., Wang, X., Pung, H., Zhang, D.: An ontology-based context model in intelligent environments. In: Proceedings of Communication Networks and Distributed Systems Modeling and Simulation Conference, pp. 270–275 (2004)

    Google Scholar 

  14. Hagras, H.: Embedding computational intelligence in pervasive spaces. IEEE Pervasive Comput. 6(3), 85–89 (2007)

    Article  Google Scholar 

  15. Hariri, S., Khargharia, B., Chen, H., Yang, J., Zhang, Y., Parashar, M., Liu, H.: The autonomic computing paradigm. Cluster Comput. 9(1), 5–17 (2006)

    Article  Google Scholar 

  16. Herrmann, K., Muhl, G., Geihs, K.: Self management: the solution to complexity or just another problem? IEEE Distrib. Syst. Online 6(1), 1–17 (2005)

    Article  Google Scholar 

  17. Horrocks, I., Patel-Schneider, P., Boley, H., Tabet, S., Grosof, B., Dean, M.: SWRL: a semantic web rule language combining OWL and RuleML. W3C member submission. http://www.w3.org/Submission/2004/SUBM-SWRL-20040521/ (2004)

  18. Kephart, J., Chess, D.: The vision of autonomic computing. Computer 36(1), 41–50 (2003)

    Article  MathSciNet  Google Scholar 

  19. Klein, M., Schmidt, A., Lauer, R.: Ontology-centred design of an ambient middleware for assisted living: the case of soprano. In: Towards Ambient Intelligence: Methods for Cooperating Ensembles in Ubiquitous Environments (AIM-CU), 30th Annual German Conference on Artificial Intelligence (KI 2007), pp. 1–8 (2007)

    Google Scholar 

  20. Kushwaha, N., Kim, M., Kim, D., Cho, W.: An intelligent agent for ubiquitous computing environments: smart home ut-agent. In: Proceedings of the Second IEEE Workshop on Software Technologies for Future Embedded and Ubiquitous Systems, pp. 157–159. IEEE Press, Piscataway, NJ, USA (2004)

    Google Scholar 

  21. McGuinness, D., Van Harmelen, F.: OWL web ontology language overview. W3C recommendation. http://www.w3.org/TR/owl-features/ (2004)

  22. Mozer, M.: The neural network house: an environment hat adapts to its inhabitants. In: Proceedings of the Intelligent Environments AAAI Spring Symposium, pp. 110–114. AAAI, Palo Alto, CA, USA (1998)

    Google Scholar 

  23. Pilato, G., Augello, A., Gaglio, S.: Modular knowledge representation in advisor agents for situation awareness. Int. J. Semant. Comput. 5(1), 33–53 (2011)

    Article  Google Scholar 

  24. Preuveneers, D., Bergh, J., Wagelaar, D., Georges, A., Rigole, P., Clerckx, T., Berbers, Y., Coninx, K., Jonckers, V., Bosschere, K.: Towards an extensible context ontology for ambient intelligence. In: Ambient Intelligence, Lecture Notes in Computer Science, vol. 3295, pp. 148–159. Springer, Berlin (2004)

    Google Scholar 

  25. Remagnino, P., Foresti, G.: Ambient intelligence: a new multidisciplinary paradigm. IEEE Trans. Syst. Man Cybern. Part A Syst. Hum. 35(1), 1–6 (2005)

    Article  Google Scholar 

  26. Ribino, P., Oliveri, A., Lo Re, G., Gaglio, S.: A knowledge management system based on ontologies. In: International Conference on New Trends in Information and Service Science, 2009. NISS ’09, pp. 1025–1033 (2009)

    Google Scholar 

  27. Serrano, J., Serrat, J., Strassner, J., O Foghlu, M.: Facilitating autonomic management for service provisioning using ontology-based functions and semantic control. In: IEEE Network Operations and Management Symposium Workshops, 2008, pp. 77–86 (2008)

    Google Scholar 

  28. Sorce, S., Augello, A., Santangelo, A., Gentile, A., Genco, A., Gaglio, S., Pilato, G.: Interacting with augmented environments. IEEE Pervasive Comput. 9(2), 56–58 (2010)

    Article  Google Scholar 

  29. Srivastava, M., Culler, D., Estrin, D.: Overview of sensor networks. Computer 37(8), 41–49 (2004)

    Article  Google Scholar 

  30. Stanfel, Z., Hocenski, Z., Martinovic, G.: A self manageable rule driven enterprise application. In: 29th International Conference on Information Technology Interfaces (ITI 2007), pp. 717–722 (2007)

    Google Scholar 

  31. Stankovic, J.: Wireless sensor networks. Computer 41(10), 92–95 (2008)

    Article  Google Scholar 

  32. Tesauro, G.: Reinforcement learning in autonomic computing: a manifesto and case studies. IEEE Internet Comput. 11(1), 22–30 (2007)

    Article  Google Scholar 

Download references

Acknowledgments

This work has been partially supported by the PO FESR 2007/2013 grant G73F11000130004 funding the SmartBuildings project.

Author information

Authors and Affiliations

  1. University of Palermo, Viale delle Scienze, ed 6, 90128 , Palermo, Italy

    Alessandra De Paola

Authors
  1. Alessandra De Paola
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Alessandra De Paola .

Editor information

Editors and Affiliations

  1. Dipartimento di Ingegneria Chimica, Gestionale, Informatica, Meccanica, Università di Palermo, Palermo, Italy

    Salvatore Gaglio

  2. Dipartimento di Ingegneria Chimica, Gestionale, Informatica, Meccanica, Università di Palermo, Palermo, Italy

    Giuseppe Lo Re

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this chapter

Cite this chapter

De Paola, A. (2014). An Ontology-Based Autonomic System for Ambient Intelligence Scenarios. In: Gaglio, S., Lo Re, G. (eds) Advances onto the Internet of Things. Advances in Intelligent Systems and Computing, vol 260. Springer, Cham. https://doi.org/10.1007/978-3-319-03992-3_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-03992-3_1

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03991-6

  • Online ISBN: 978-3-319-03992-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation