A structured ontology for wastewater and stormwater networks — aligned with DOLCE-lite and compliant with the INSPIRE EU directive and the RAEPA geostandard.
Une ontologie structurée pour les réseaux d'assainissement et de gestion des eaux pluviales — alignée avec DOLCE-lite et conforme à la directive INSPIRE et au géostandard RAEPA.
SewerNet provides a comprehensive, interoperable semantic model for sewer infrastructure management.
The SewerNet Ontology describes the structure of wastewater and stormwater networks, their elements, and their qualities. It also incorporates events involved in the network management process.
SewerNet is aligned with the DOLCE-lite foundational ontology and imports a few axioms from the Time Ontology for interoperability, providing a well-established semantic basis for modelling sewer networks.
By adhering to the INSPIRE EU directive and the RAEPA geostandard, SewerNet provides a structured framework facilitating the integration of multi-source data, enabling a unified view of information across heterogeneous systems.
L'ontologie SewerNet décrit la structure des réseaux d'eaux usées et pluviales, leurs éléments et leurs qualités. Elle est alignée avec l'ontologie fondatrice DOLCE-lite et conforme aux directives INSPIRE et au géostandard RAEPA.
Access the ontology files, documentation, and formal renderings.
Download the SewerNet ontology in OWL format, along with the foundational ontologies it imports.
Web-browsable, auto-generated documentation in both English and French for easy exploration of the ontology.
Formal rendering of SewerNet in Description Logic (DL) notation, automatically generated from the ontology source.
Peer-reviewed presentations and external repositories hosting SewerNet.
Keet, C. M., Haydar, B., and Chahinian, N. The SewerNet domain ontology: on clarifying and harmonising terminology . EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-8662.
Mahlaza, Z., Keet, C. M., Chahinian, N., and Haydar, B. On the feasibility of LLM-based automated generation and filtering of competency questions for ontologies . Proceedings of the 5th Conference on Language, Data and Knowledge, Naples, Italy, Sep 2025, pp. 136–146.
Browse and query SewerNet via the EarthPortal ontology repository.
Access the ontology through the CLARIN language resource infrastructure.
The SewerNet ontology is developed by researchers across France and South Africa.
HydroSciences Montpellier
IRD, Univ. Montpellier, France
HydroSciences Montpellier
IRD, Univ. Montpellier, France
University of Cape Town
South Africa
STormwAteR and WastewAteR networkS heterogeneous data AI-driven management.
Collecting, Representing, cOmpleting, merging and Querying heterogeneous and UncertaIn wastewater and stormwater network data.