The SSN ontology of the W3C semantic sensor network incubator group
By M. Compton, Payam M. Barnaghi, L. Bermudez, R. García-Castro, Óscar Corcho, S. Cox, J. Graybeal, Manfred Hauswirth, C. Henson, Arthur Herzog and 12 more. Journal of Web Semantics, 2012
1,559 citations recorded by the source corpus.
The W3C Semantic Sensor Network Incubator group (the SSN-XG) produced an OWL 2 ontology to describe sensors and observations - the SSN ontology, available at http://purl.oclc.org/NET/ssnx/ssn. The SSN ontology can describe sensors in terms of capabilities, measurement processes, observations and deployments. This article describes the SSN ontology. It further gives an example and describes the use of the ontology in recent research projects.
Subfields: Artificial Intelligence, Information Systems
View Paper: https://www.semanticscholar.org/paper/2623ba54619f5045bb3efa9e63cfdfb778ae6fa4
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In Artificial Intelligence
- Omer Berat Sezer
- Zhen Hu
- Erdogan Dogdu
- Nathalie Mitton
- Valeria Loscrì
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- A. Ozbayoglu
In Information Systems
Citations in the corpus
- Towards a smart city based on cloud of things, a survey on the smart city vision and paradigms (2014, methodology): “It is worth outlining that VI-TAL relies on W3C SSN ontology, that is considered ideal for unifying the semantics of di.erent IoT platforms, since it is domain independent and extensible.”
- Context-Aware Computing, Learning, and Big Data in Internet of Things: A Survey (2018, background): “A feature and property perspective is interested in “what senses a particular property or what observations have been made about a property” [86].”
- A comprehensive review of digital twin — part 1: modeling and twinning enabling technologies (2022, background): “The construction of such a unifying conceptual framework significantly fosters the communication and sharing of the structure of information specific to each domain that is understandable by both humans and machines (Castells et al. 2006; Compton et al. 2012).”