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HAYDAR, Batoul; Chahinian, Nanée and Keet, Maria, 2024, Sewer Network Ontology, CLARIN DSpace, http://hdl.handle.net/20.500.11752/ILC-1037
dc.contributor.authorHAYDAR, Batoul
dc.contributor.authorChahinian, Nanée
dc.contributor.authorKeet, Maria
dc.date.accessioned2025-03-31T13:35:33Z
dc.date.available2025-03-31T13:35:33Z
dc.date.issued2024-12-01
dc.descriptionThe developed Sewer Network ontology (SewerNet) describes the structure of the wastewater and stormwater networks, their elements, and their qualities. It also incorporates events involved in the network management process. The ontology is based on the French géostandard for drinking water supply and sanitation networks (RAEPA) v1.2 and the INSPIRE European directive. 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 modeling sewer networks.
dc.identifier.urihttp://hdl.handle.net/20.500.11752/ILC-1037
dc.language.isoeng
dc.language.isofra
dc.publisherInstitut de Recherche pour le Développement
dc.rightsCreative Commons - Attribution 4.0 International (CC BY 4.0)
dc.rights.labelPUB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.source.urihttps://sites.google.com/view/horizoneurope2020-starwars/
dc.subjectOntology
dc.subjectSewer Network
dc.titleSewer Network Ontology
dc.typelexicalConceptualResource
local.brandingILC
local.contact.personBatoul HAYDAR batoul.haydar@ird.fr French National Research Institute for Sustainable Development
local.demo.urihttp://sewernet.hsm.umontpellier.fr/
local.files.count1
local.files.size0
local.has.filesyes
local.language.nameEnglish
local.language.nameFrench
local.size.info139 classes
local.sponsornationalFunds ANR-21-CE23-0004 Agence Nationale de la Recherche (ANR) CROQUIS (Collecte, représentation, complétion, fusion et interrogation de données de réseaux d’eau urbains hétérogènes et incertaines)
local.sponsoreuFunds 10108625 European Union's Horizon research and innovation program STARWARS (STormwAteR and Wastew- AteR networkS heterogeneous data AI-driven management)
metashare.ResourceInfo#ContentInfo.detailedTypeontology
metashare.ResourceInfo#ContentInfo.mediaTypetext
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