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Authors: Alexandros-Michail Koufakis 1 ; Savvas Tzanakis 1 ; Anastasia Moumtzidou 1 ; Georgios Meditskos 1 ; 2 ; Anastasios Karakostas 1 ; Stefanos Vrochidis 1 and Ioannis Kompatsiaris 1

Affiliations: 1 Information Technologies Institute, Centre for Research and Technology Hellas, 6th km Harilaou - Thermi, 57001, Thermi, Thessaloniki, Greece ; 2 School of Informatics, Aristotle University of Thessaloniki, University Campus, 54124, Thessaloniki, Greece

Keyword(s): Crisis, Ontology, ISO 15975.

Abstract: Water distribution systems are comprised of a variety of different components that must be monitored in order to combat crises as effectively as possible. In particular, the subsystems that monitor the different components are varied and diverse, and as a result, their produced data are heterogeneous and occupy different modalities. This paper describes the OntoAqua ontology that aims to semantically represent knowledge and data sources in the event of a water-related crisis, including preparatory and follow-up measures. Towards the creation of an ontology that is semantically sound and adopts international standards, existing ontologies and resources were reused. More specifically, the specification and the semantics of the ontology are inspired mainly from the ISO 15975 - Security of drinking water supply. The modelling of sensor data was implemented by reusing the SAREF ontology and its extension for the water domain. For crowdsourcing and social media, the ontology imports classe s and properties from the SIOC ontology. (More)

CC BY-NC-ND 4.0

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Paper citation in several formats:
Koufakis, A.; Tzanakis, S.; Moumtzidou, A.; Meditskos, G.; Karakostas, A.; Vrochidis, S. and Kompatsiaris, I. (2021). OntoAqua: Ontology-based Modelling of Context in Water Safety and Security. In Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KEOD, ISBN 978-989-758-533-3; ISSN 2184-3228, pages 194-201. DOI: 10.5220/0010676900003064

@conference{keod21,
author={Alexandros{-}Michail Koufakis. and Savvas Tzanakis. and Anastasia Moumtzidou. and Georgios Meditskos. and Anastasios Karakostas. and Stefanos Vrochidis. and Ioannis Kompatsiaris.},
title={OntoAqua: Ontology-based Modelling of Context in Water Safety and Security},
booktitle={Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KEOD,},
year={2021},
pages={194-201},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010676900003064},
isbn={978-989-758-533-3},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KEOD,
TI - OntoAqua: Ontology-based Modelling of Context in Water Safety and Security
SN - 978-989-758-533-3
IS - 2184-3228
AU - Koufakis, A.
AU - Tzanakis, S.
AU - Moumtzidou, A.
AU - Meditskos, G.
AU - Karakostas, A.
AU - Vrochidis, S.
AU - Kompatsiaris, I.
PY - 2021
SP - 194
EP - 201
DO - 10.5220/0010676900003064