OntoAqua: Ontology-based Modelling of Context in Water Safety and Security

Alexandros-Michail Koufakis, Savvas Tzanakis, Anastasia Moumtzidou, Georgios Meditskos, Georgios Meditskos, Anastasios Karakostas, Stefanos Vrochidis, Ioannis Kompatsiaris

2021

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 classes and properties from the SIOC ontology.

Paper Citation

in Harvard Style

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 (IC3K 2021) - Volume 2: KEOD; ISBN 978-989-758-533-3, SciTePress, pages 194-201. DOI: 10.5220/0010676900003064

in Bibtex Style

@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 (IC3K 2021) - Volume 2: KEOD},
year={2021},
pages={194-201},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010676900003064},
isbn={978-989-758-533-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2021) - Volume 2: KEOD
TI - OntoAqua: Ontology-based Modelling of Context in Water Safety and Security
SN - 978-989-758-533-3
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
PB - SciTePress