Year: 2026
Type: article
Abstract: Effective urban water network management is often hindered by data heterogeneity and a severe lack of interoperability. This study leverages the power of the Semantic Web to introduce a new application ontology, the SewerNetworkOntology, coupled to an Ontology-Based Data Access (OBDA) framework specifically designed for sewer network management. Our framework integrates a specifically designed conceptual layer, representing the physical structures of these networks, linked to a data layer through formalised mappings. A key contribution is the framework’s ability to automatically identify data inconsistencies that remain hidden with traditional methods. We demonstrate the effectiveness of our system through its application to the wastewater and stormwater networks of Montpellier Métropole.
Source: Digital Water
Institutions: Centre National de la Recherche Scientifique, Université de Montpellier, Laboratoire HydroSciences Montpellier, Institut de Recherche pour le Développement, Université Côte d'Azur, Laboratoire d'Informatique, Signaux et Systèmes de Sophia Antipolis, Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo"
Language: English
Topic: Semantic Web and Ontologies
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7204484224