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Semantic Web Languages for Policy Enforcement in the Internet of Things

  • Rustem DautovEmail author
  • Salvatore Distefano
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10745)

Abstract

To enable device compatibility, interoperability and integration in the Internet of Things (IoT), several ontological frameworks have been developed, using the Semantic Web technologies – a common and widely-adopted toolkit for addressing the heterogeneity issues in complex IT systems. These ontologies aim to provide a common vocabulary of terms to be universally adopted by the IoT community. Defined using the Web Ontology Language – a language underpinned by the Description Logics – these vocabularies, however, seem to neglect the automated reasoning support, which comes along with this semantic approach to model IoT environments. To bridge this gap, this paper builds upon the existing work in the area of semantic modelling for the IoT, and proposes utilising IoT ontologies to define and enforce policies, thus benefiting from the built-in support for automated reasoning.

Keywords

Internet of Things Semantic Web Policy management Web Ontology Language Semantic Web Rule Language Reasoning 

References

  1. 1.
    Berners-Lee, T., Hendler, J., Lassila, O., et al.: The semantic web. Sci. Am. 284(5), 28–37 (2001)CrossRefGoogle Scholar
  2. 2.
    Dautov, R., Kourtesis, D., Paraskakis, I., Stannett, M.: Addressing self-management in cloud platforms: a semantic sensor web approach. In: Proceedings of the 2013 International Workshop on Hot topics in Cloud Services, pp. 11–18. ACM (2013)Google Scholar
  3. 3.
    Dautov, R., Paraskakis, I., Stannett, M.: Towards a framework for monitoring cloud application platforms as sensor networks. Cluster Comput. 17(4), 1203–1213 (2014)CrossRefGoogle Scholar
  4. 4.
    Hitzler, P., Krötzsch, M., Rudolph, S.: Foundations of Semantic Web Technologies. Chapman & Hall/CRC, Boca Raton (2009)Google Scholar
  5. 5.
    Rubin, D.L., Shah, N.H., Noy, N.F.: Biomedical ontologies: a functional perspective. Briefings Bioinf. 9(1), 75–90 (2008)CrossRefGoogle Scholar
  6. 6.
    Sheth, A., Henson, C., Sahoo, S.S.: Semantic sensor web. IEEE Internet Comput. 12(4), 78–83 (2008)CrossRefGoogle Scholar
  7. 7.
    Studer, R., Benjamins, V.R., Fensel, D.: Knowledge engineering: Principles and methods. Data Knowl. Eng. 25(1–2), 161–197 (1998)CrossRefzbMATHGoogle Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Higher Institute of Information Technology and Information Systems (ITIS)Kazan Federal University (KFU)KazanRussia
  2. 2.South-East European Research Centre (SEERC)The University of Sheffield, International Faculty CITY CollegeThessalonikiGreece
  3. 3.University of MessinaMessinaItaly

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