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.
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.
