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The semantic sensor network ontology, revamped

dc.contributor.authorTaylor, Kerry
dc.contributor.authorHaller, Armin
dc.contributor.authorLefrancois, Maxime
dc.contributor.authorCox, Simon Jonathan
dc.contributor.authorJanowicz, Krzysztof
dc.contributor.authorGarcıa-Castro, Raul
dc.contributor.authorLe-Phuoc, Danh
dc.contributor.authorLieberman, Joshua
dc.contributor.authorAtkinson, Rob
dc.contributor.authorStadler, Claus
dc.contributor.editord'Amato, Claudia
dc.contributor.editorKagal, Lalana
dc.date.accessioned2022-06-30T04:07:29Z
dc.date.available2022-06-30T04:07:29Z
dc.date.issued2019
dc.date.updated2021-08-01T08:21:45Z
dc.description.abstractThe Semantic Sensor Network Ontology, popularly known as SSN, was developed by an Incubator Group of the World Wide Web Consortium (W3C) over 2009 to 2011. Subsequently, the W3C and the Open Geospatial Consortium (OGC) joined forces to update the SSN as informed by experience, to harmonize it with OGC's O&M, and to publish a new version to be endorsed as both a W3C Recommendation and an OGC standard in late 2017. The major contribution of the new SSN is a modular structure designed to be more convenient for ontology engineers and data custodians. It also slightly extends the coverage of the previous SSN with new terms for sampling and actuation. SSN re- tains the ability to comprehensively represent: sensors in terms of what they can sense, and what and how they do sense; observations in terms of what they measure and what values they find; systems (or networks) of sensors in terms of sensor components and how they are deployed; and real-world objects (called features of interest, OGC-style) in terms of their physical properties, what can sense them, and what observations of them have been made. A few little-used SSN terms have been deprecated, and several others have been renamed. For a comprehensive description of new SSN the reader is referred to the specification [10]. A full descrip- tion of the scope, design rationale and additions, with examples of its application are presented in [11]
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn1613-0073en_AU
dc.identifier.urihttp://hdl.handle.net/1885/268618
dc.language.isoen_AUen_AU
dc.provenanceUse permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).en_AU
dc.publisherCEUR Workshop Proceedingsen_AU
dc.rights© 2019 The Author(s)en_AU
dc.rights.licenseCreative Commons Attribution 4.0 International Licenseen_AU
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_AU
dc.sourceCEUR Workshop Proceedingsen_AU
dc.source.urihttp://ceur-ws.org/Vol-2576/en_AU
dc.titleThe semantic sensor network ontology, revampeden_AU
dc.typeJournal articleen_AU
dcterms.accessRightsOpen Accessen_AU
local.bibliographicCitation.lastpage9en_AU
local.bibliographicCitation.startpage1en_AU
local.contributor.affiliationTaylor, Kerry, College of Engineering and Computer Science, ANUen_AU
local.contributor.affiliationHaller, Armin, College of Business and Economics, ANUen_AU
local.contributor.affiliationLefrancois, Maxime, Univ Lyon, MINES Saint-Etienne CNRSen_AU
local.contributor.affiliationCox , Simon Jonathan, CSIROen_AU
local.contributor.affiliationJanowicz, Krzysztof, University of Californiaen_AU
local.contributor.affiliationGarcıa-Castro, Raul , Universidad Politecnica de Madriden_AU
local.contributor.affiliationLe-Phuoc, Danh, Technische Universitat Berlinen_AU
local.contributor.affiliationLieberman, Joshua, Harvard Universityen_AU
local.contributor.affiliationAtkinson, Rob, Metalinkageen_AU
local.contributor.affiliationStadler, Claus, Institut fur Informatik, Universitat Leipzigen_AU
local.contributor.authoruidTaylor, Kerry, u3769039en_AU
local.contributor.authoruidHaller, Armin, u5127790en_AU
local.description.notesImported from ARIES
local.identifier.absfor000000 - Internal ANU use onlyen_AU
local.identifier.ariespublicationa383154xPUB11781en_AU
local.identifier.citationvolume2576en_AU
local.publisher.urlhttp://ceur-ws.org/en_AU
local.type.statusPublished Versionen_AU

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