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A Comparative Study of Energy Domain Ontologies

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Web Information Systems and Technologies (WEBIST 2020, WEBIST 2021)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 469))

Abstract

The energy domain is part of Critical Infrastructures (CI), in which Smart Grids (SG) play the role of major enabler of concepts such as Smart Cities. The capability of reasoning through ontologies is of paramount importance to allow a better integration of sensors and devices part of the smart energy domain. In this paper, we provide a comprehensive evaluation of semantic reasoning in the energy domain, by evaluating the performance of ten ontologies in terms of different metrics such as load time and run-time performance, discussing how such ontologies can be applicable in case of deployment on devices with constrained resources.

The research was supported from ERDF/ESF “CyberSecurity, CyberCrime and Critical Information Infrastructures Center of Excellence” (No. CZ.02.1.01/0.0/0.0/16_019/0000822).

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Notes

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    https://protege.stanford.edu/products.php.

  2. 2.

    https://jena.apache.org/index.html.

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Acknowledgements

The research was supported from ERDF/ESF “CyberSecurity, CyberCrime and Critical Information Infrastructures Center of Excellence” (No. CZ.02.1.01/0.0 /0.0/16_019/0000822).

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Authors and Affiliations

  1. Faculty of Informatics, Masaryk University, Brno, Czech Republic

    José Miguel Blanco, Bruno Rossi & Tomáš Pitner

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  1. José Miguel Blanco
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  3. Tomáš Pitner
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Corresponding author

Correspondence to José Miguel Blanco .

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Editors and Affiliations

  1. University of Padua, Padua, Italy

    Massimo Marchiori

  2. University of Seville, Seville, Spain

    Francisco José Domínguez Mayo

  3. Polytechnic Institute of Setúbal/INSTICC, Setubal, Portugal

    Joaquim Filipe

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Blanco, J.M., Rossi, B., Pitner, T. (2023). A Comparative Study of Energy Domain Ontologies. In: Marchiori, M., Domínguez Mayo, F.J., Filipe, J. (eds) Web Information Systems and Technologies. WEBIST WEBIST 2020 2021. Lecture Notes in Business Information Processing, vol 469. Springer, Cham. https://doi.org/10.1007/978-3-031-24197-0_3

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