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Need and Relevance of Common Vocabularies and Ontologies in IoT Domain

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Part of the Studies in Computational Intelligence book series (SCI, volume 941)

Abstract

Data plays a foremost part in Future Communication. Internet of Things encompasses various sources of data of different type, by different name. The complexity and variance in data increase the criticalness of the model. Same data has different meaning in different applications. These variances make it difficult to apply any query on data. To resolve the issues in naming of data values and to create consistency Vocabulary and Ontologies are must. Data gathered on a big platform e.g. for IoT via cloud need to manage data in proper manner, which is spread all over the internet on different servers. The features and related research is explained in this chapter, having a brief introduction with application areas.

Keywords

Semantic web Ontology Vocabulary Internet of thing IoT Smart city 

References

  1. 1.
    Gyrard, A., Zimmermann, A., Sheth, A.: Building IoT-based applications for smart cities: how can ontology catalogs help? IEEE Internet Things J. 5(5), 3978–3990 (2018)CrossRefGoogle Scholar
  2. 2.
    Gyrard, A., Serrano, M.: A unified semantic engine for internet of things and smart cities: from sensor data to end-users applications. In: 2015 IEEE International Conference on Data Science and Data Intensive Systems, pp. 718–725. IEEE (2015) Google Scholar
  3. 3.
    Kamilaris, A., Gao, F., Prenafeta-Boldu, F. X., Ali, M.I.: Agri-IoT: A semantic framework for internet of things-enabled smart farming applications. In: 2016 IEEE 3rd World Forum on Internet of Things (WF-IoT), pp. 442–447. IEEE (2016)Google Scholar
  4. 4.
    Noura, M., Gyrard, A., Heil, S., Gaedke, M.: Automatic knowledge extraction to build semantic web of things applications. IEEE Internet Things J. 6(5), 8447–8454 (2019)CrossRefGoogle Scholar
  5. 5.
    Gyrard, A., Atemezing, G., Bonnet, C., Boudaoud, K., Serrano, M.: Reusing and unifying background knowledge for internet of things with LOV4IoT. In: 2016 IEEE 4th International Conference on Future Internet of Things and Cloud (FiCloud), pp. 262–269. IEEE (2016) Google Scholar
  6. 6.
    Ganzha, M., Paprzycki, M., Pawłowski, W., Szmeja, P., Wasielewska, K.: Semantic interoperability in the internet of things: an overview from the INTER-IoT perspective. J. Netw. Comput. Appl. 81, 111–124 (2017)CrossRefGoogle Scholar
  7. 7.
    Gyrard, A., Datta, S.K., Bonnet, C., Boudaoud, K.: Cross-domain internet of things application development: M3 framework and evaluation. In: 2015 3rd International Conference on Future Internet of Things and Cloud, pp. 9–16. IEEE (2015)Google Scholar
  8. 8.
    Szilagyi, I., Wira, P.: Ontologies and semantic web for the internet of things-a survey. In: IECON 2016-42nd Annual Conference of the IEEE Industrial Electronics Society, pp. 6949–6954. IEEE (2016)Google Scholar
  9. 9.
    Gyrard, A., Bonnet, C., Boudaoud, K.: Enrich machine-to-machine data with semantic web technologies for cross-domain applications. In: 2014 IEEE World Forum on Internet of Things (WF-IoT), pp. 559–564. IEEE (2014)Google Scholar
  10. 10.
    Bermudez-Edo, M., Elsaleh, T., Barnaghi, P., Taylor, K.: IoT-Lite: a lightweight semantic model for the internet of things and its use with dynamic semantics. Pers. Ubiquit. Comput. 21(3), 475–487 (2017)CrossRefGoogle Scholar
  11. 11.
    Gyrard, A., Bonnet, C., Boudaoud, K., Serrano, M.: LOV4IoT: a second life for ontology-based domain knowledge to build semantic web of things applications. In: 2016 IEEE 4th International Conference on Future Internet of Things and Cloud (FiCloud), pp. 254–261. IEEE (2016)Google Scholar
  12. 12.
    Gyrard, A., Serrano, M., Atemezing, G. A.: Semantic web methodologies, best practices and ontology engineering applied to Internet of Things. In: 2015 IEEE 2nd World Forum on Internet of Things (WF-IoT), pp. 412–417. IEEE (2015)Google Scholar
  13. 13.
    Gyrard, A., Datta, S. K., Bonnet, C., Boudaoud, K. Standardizing generic cross-domain applications in Internet of Things. In: 2014 IEEE Globecom Workshops (GC Wkshps), pp. 589–594. IEEE (2014)Google Scholar
  14. 14.
    Alaya, M.B., Medjiah, S., Monteil, T., Drira, K.: Toward semantic interoperability in oneM2M architecture. IEEE Commun. Mag. 53(12), 35–41 (2015)CrossRefGoogle Scholar
  15. 15.
    Compton, M., Barnaghi, P., Bermudez, L., GarcíA-Castro, R., Corcho, O., Cox, S., Graybeal, J., Hauswirth, M., Henson, C., Herzog, A., Huang, V.: The SSN ontology of the W3C semantic sensor network incubator group. J Web Semant. 17, 25–32 (2012)CrossRefGoogle Scholar
  16. 16.
    Daniele, L., den Hartog, F., Roes, J.: Created in close interaction with the industry: the smart appliances reference (SAREF) ontology. In: International Workshop Formal Ontologies Meet Industries, pp. 100–112. Springer, Cham (2015)Google Scholar
  17. 17.
    Soldatos, J., Kefalakis, N., Hauswirth, M., Serrano, M., Calbimonte, J. P., Riahi, M., Aberer, K., Jayaraman, P.P., Zaslavsky, A., Žarko, I.P., Skorin-Kapov, L.: Openiot: Open source internet-of-things in the cloud. In: Interoperability and open-source solutions for the internet of things, pp. 13–25. Springer, Cham (2015)Google Scholar
  18. 18.
    Bajaj, G., Agarwal, R., Singh, P., Georgantas, N., Issarny, V.: A study of existing Ontologies in the IoT-domain. arXiv preprint arXiv:1707.00112 (2017)
  19. 19.
    Lam, A.N., Haugen, Ø.: Applying semantics into service-oriented iot framework. In: 2019 IEEE 17th International Conference on Industrial Informatics (INDIN), vol. 1, pp. 206–213. IEEE (2019)Google Scholar
  20. 20.
    Mishra, S., Jain, S.: Ontologies as a semantic model in IoT. Int. J. Comput. Appl. 42(3), 233–243 (2020)Google Scholar
  21. 21.
    Ganzha, M., Paprzycki, M., Pawłowski, W., Szmeja, P., Wasielewska, K.: Towards common vocabulary for IoT ecosystems—preliminary considerations. In: Asian Conference on Intelligent Information and Database Systems, pp. 35–45. Springer, Cham (2017)Google Scholar
  22. 22.
    Venceslau, A., Andrade, R., Vidal, V., Nogueira, T., Pequeno, V.: IoT Semantic interoperability: a systematic mapping study. In: International Conference on Enterprise Information Systems, vol. 1, pp. 535–544. SciTePress (2019)Google Scholar
  23. 23.
    Rhayem, A., Mhiri, M.B.A., Gargouri, F.: Semantic web technologies for the internet of things: systematic literature review. Internet Things 100206 (2020)Google Scholar
  24. 24.
    Zgheib, R., Conchon, E., Bastide, R.: Semantic middleware architectures for IoT healthcare applications. In: Enhanced Living Environments, pp. 263–294. Springer, Cham (2019)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2021

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringMalviya National Institute of TechnologyJaipurIndia

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