Advertisement

Towards an Ontology for Supporting Dynamic Reconfiguration of IoT Applications

  • Noemi E. SariEmail author
  • Marlon Ulloa
  • Lizandro Solano-Quinde
  • Miguel Zuñiga-PrietoEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1066)

Abstract

In the last years, several ontologies have been developed in the Internet of Things (IoT) domain to specify intelligent environments. Where, environment descriptions include both the software services, that expose the functionalities of devices; and resources, i.e. software components that control physical sensors and actuators, hosted on devices that sense or change the state of objects in the environment. This work proposes an ontological semantic network that supports the development of IoT applications that establish, at runtime, the binding with device services that allow them to fulfill their functionalities. This is done by enhancing device service descriptions with properties that allow inferring relationships among the attributes of the environment that an application is designed to control and the environment properties that device services are able to control. The applicability of the proposed model is shown through the population of the ontological network where an application establishes at runtime the binding among its functionalities and device services.

Keywords

Ontology Web services Internet of Things 

Notes

Acknowledgment

This research is supported by the DIUC_XIV_2016_038 project, University of Cuenca.

References

  1. 1.
    Compton, M., et al.: The SSN ontology of the W3C semantic sensor network incubator group. Web Semant. Sci. Serv. Agents World Wide Web 17, 25–32 (2012)CrossRefGoogle Scholar
  2. 2.
    Bermudez-Edo, M., et al.: IoT-Lite: a lightweight semantic model for the Internet of Things. In: 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld). IEEE (2016)Google Scholar
  3. 3.
    Janowicz, K., et al.: SOSA: A lightweight ontology for sensors, observations, samples, and actuators. J. Web Semant. 56, 1–10 (2018)CrossRefGoogle Scholar
  4. 4.
    Bonino, D., Corno, F.: Dogont-ontology modeling for intelligent domotic environments. In: International Semantic Web Conference. Springer, Heidelberg (2008)Google Scholar
  5. 5.
    Wang, W., et al.: A comprehensive ontology for knowledge representation in the internet of things. In: 2012 IEEE 11th International Conference on Trust, Security and Privacy in Computing and Communications. IEEE (2012)Google Scholar
  6. 6.
  7. 7.
    Jayaraman, P., et al.: Internet of things platform for smart farming: experiences and lessons learnt. Sensors 16(11), 1884 (2016)CrossRefGoogle Scholar
  8. 8.
    Sezer, O.B., Can, S.Z., Dogdu, E.: Development of a smart home ontology and the implementation of a semantic sensor network simulator: an Internet of Things approach. In: 2015 International Conference on Collaboration Technologies and Systems (CTS). IEEE (2015)Google Scholar
  9. 9.
    Fan, Y.J., et al.: IoT-based smart rehabilitation system. IEEE Trans. Ind. Inform. 10(2), 1568–1577 (2014)MathSciNetCrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Computer Science DepartmentUniversidad de CuencaCuencaEcuador

Personalised recommendations