BLANCO SÁNCHEZ, José Miguel, Bruno ROSSI and Tomáš PITNER. A Comparison of Smart Grids Domain Ontologies. Online. In The 17th International Conference on Web Information Systems and Technologies (WEBIST). Setúbal, Portugal: SciTePress, 2021, p. 115-123. ISBN 978-989-758-536-4. Available from: https://dx.doi.org/10.5220/0010710000003058.
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Basic information
Original name A Comparison of Smart Grids Domain Ontologies
Authors BLANCO SÁNCHEZ, José Miguel (724 Spain, guarantor, belonging to the institution), Bruno ROSSI (380 Italy, belonging to the institution) and Tomáš PITNER (203 Czech Republic, belonging to the institution).
Edition Setúbal, Portugal, The 17th International Conference on Web Information Systems and Technologies (WEBIST), p. 115-123, 9 pp. 2021.
Publisher SciTePress
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Portugal
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
RIV identification code RIV/00216224:14330/21:00122685
Organization unit Faculty of Informatics
ISBN 978-989-758-536-4
ISSN 2184-3252
Doi http://dx.doi.org/10.5220/0010710000003058
UT WoS 000795868100010
Keywords in English Smart Grids; Ontologies; Semantic Web Reasoners; Performance
Tags firank_B
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 15/5/2024 02:34.
Abstract
Smart Grids (SG) represent one of the key critical infrastructures. Over time, several ontologies were defined in the SG domain to model aspects such as devices and sensors integration, and prosumers’ communication needs. In this paper, we review the state of the art regarding semantic web reasoning in the domain of SGs. We compare five main ontologies in terms of descriptive statistics (e.g., number of axioms), load time and reasoners runtime performance. Results show that not all the ontologies in the SG domain are readily available, and that some of them might be more appropriate for deployment in devices with limited computational resources.
Links
CZ.02.1.01/0.0/0.0/16_019/0000822, interní kód MU
(CEP code: EF16_019/0000822)		Name: Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur (Acronym: C4e)
Investor: Ministry of Education, Youth and Sports of the CR, CyberSecurity, CyberCrime and Critical Information Infrastructures Center of Excellence, Priority axis 1: Strengthening capacities for high-quality research
EF16_019/0000822, research and development projectName: Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur
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