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The SSN ontology of the W3C semantic sensor network incubator group

Published: 01 December 2012 Publication History

Abstract

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.

References

[1]
M. Botts, G. Percivall, C. Reed, J. Davidson, OGC sensor web enablement: overview and high level architecture, OpenGIS White Paper OGC 07-165, Open Geospatial Consortium Inc., 2007.
[2]
M. Botts, A. Robin, OpenGIS sensor model language (SensorML) implementation specification, OpenGIS Implementation Specification OGC 07-000, The Open Geospatical Consortium Inc., 2007.
[3]
S. Cox, Observations and measurements-part 1-observation schema, OpenGIS Implementation Standard OGC 07-022r1, Open Geospatial Consortium Inc., 2007.
[4]
S. Cox, Observations and measurements-part 2-sampling features, OpenGIS Implementation Standard OGC 07-002r3, Open Geospatial Consortium Inc., 2007.
[5]
A. Sheth, C. Henson, S. Sahoo, Semantic sensor web, IEEE Internet Comput., 12 (2008) 78-83.
[6]
K. Janowicz, S. Schade, A. Bröring, C. Keíßler, P. Maue, C. Stasch, Semantic enablement for spatial data infrastructures, Trans. GIS, 14 (2010) 111-129.
[7]
P. Barnaghi, M. Presser, Publishing linked sensor data, in: 3rd International Workshop on Semantic Sensor Networks, CEUR-WS, 2010.
[8]
C. Keíßler, K. Janowicz, Linking sensor data-why, to what, and how?, in: 3rd International Workshop on Semantic Sensor Networks, CEUR-WS, 2010.
[9]
W3C OWL Working Group, OWL 2 Web Ontology Language, W3C Recommendation, 2009. Available at: http://www.w3.org/TR/owl-overview/¿(last accessed: 11.05.12).
[10]
M. Compton, C. Henson, H. Neuhaus, L. Lefort, A. Sheth, A survey of the semantic specification of sensors, in: 2nd International Workshop on Semantic Sensor Networks, CEUR-WS, 2009, pp. 17-32.
[11]
K. Janowicz, M. Compton, The stimulus-sensor-observation ontology design pattern and its integration into the semantic sensor network ontology, in: 3rd International Workshop on Semantic Sensor Networks, vol. 668, CEUR-WS, 2010.
[12]
N. Guarino, Formal ontology and information systems, in: International Conference on Formal Ontology in Information Systems, IOS Press, 1998, pp. 3-15.
[13]
A. Gangemi, Ontology design patterns for semantic web content, in: Lecture Notes in Computer Science, vol. 3729, Springer, 2005, pp. 262-276.
[14]
RDF Vocabulary Description Language 1.0: RDF Schema, W3C Recommendation, 2010. Available at: http://www.w3.org/TR/rdf-schema/¿(last accessed: 11.05.12).
[15]
SKOS simple knowledge organization system reference, W3C Recommendation, 2009. Available at: http://www.w3.org/TR/skos-reference¿(last accessed: 11.05.12).
[16]
Joint committee for guides in metrology (Working Group 2), International Vocabulary of Metrology-Basic and General Concepts and Associated Terms, JCGM 200:2008, BIPM, 2008.
[17]
W.V.O. Quine, From Stimulus to Science, Harvard University Press, 1995.
[18]
W. Kuhn, A functional ontology of observation and measurement, in: Proceedings of the 3rd International Conference on GeoSpatial Semantics, Springer-Verlag, 2009, pp. 26-43.
[19]
F. Probst, M. Lutz, Giving meaning to GI web service descriptions, in: 2nd International Workshop on Web Services: Modeling, Architecture and Infrastructure, INSTICC Press, 2004, pp. 23-35.
[20]
Mathematical markup language (MathML), W3C Recommendation, 2010. Available at: http://www.w3.org/TR/MathML/¿(last accessed: 11.05.12).
[21]
M. Compton, H. Neuhaus, K.-N. Tran, Reasoning about sensors and compositions, in: 2nd International Semantic Sensor Networks Workshop, CEUR-WS, 2009, pp. 33-48.
[22]
K. Taylor, P. Penkala, Using explicit semantic representations for user programming of sensor devices, in: 5th Australasian Ontology Workshop, ACS, 2009, pp. 47-55.
[23]
A. Moraru, D. Mladenic, M. Vucnik, M. Porcius, C. Fortuna, M. Mohorcic, Exposing real world information for the web of things, in: 8th International Workshop on Information Integration on the Web, ACM, 2011.
[24]
K. Wenzel, J. Riegel, A. Schlegel, M. Putz, Semantic web based dynamic energy analysis and forecasts in manufacturing engineering, in: Proceedings of the 18th CIRP International Conference on Life Cycle Engineering, Springer-Verlag, 2011, pp. 507-512.
[25]
D. Corsar, P. Edwards, N. Velaga, J. Nelson, J. Pan, Short paper: addressing the challenges of semantic citizen-sensing, in: 4th International Workshop on Semantic Sensor Networks, CEUR-WS, 2011, pp. 90-95.
[26]
L. Yu, Y. Liu, Using the linked data approach in a heterogeneous sensor web: challenges, experiments and lessons learned, in: Workshop on Sensor Web Enablement, 2011.
[27]
M. Leggieri, A. Passant, M. Hauswirth, A contextualised cognitive perspective for linked sensor data-short paper, in: 3rd International Workshop on Semantic Sensor Networks, CEUR-WS, 2010.
[28]
D. Pfisterer, K. Römer, D. Bimschas, O. Kleine, R. Mietz, C. Truong, H. Hasemann, A. Kröller, M. Pagel, M. Hauswirth, M. Karnstedt, M. Leggieri, A. Passant, R. Richardson, SPITFIRE: toward a semantic web of things, IEEE Commun. Mag., 49 (2011) 40-48.
[29]
K. Janowicz, A. Bröring, C. Stasch, S. Schade, T. Everding, A. Llayes, A RESTful proxy and data model for linked sensor data, Int. J. Digital Earth (2011).
[30]
A. Bröring, P. Maué, K. Janowicz, D. Nüst, C. Malewski, Semantically-enabled sensor plug & play for the sensor web, Sensors, 11 (2011) 7568-7605.
[31]
A.J.G. Gray, R. García-Castro, K. Kyzirakos, M. Karpathiotakis, J.-P. Calbimonte, K.R. Page, J. Sadler, A. Frazer, I. Galpin, A.A.A. Fernandes, N.W. Paton, í. Corcho, M. Koubarakis, D.D. Roure, K. Martinez, A. Gómez-Pérez, A semantically enabled service architecture for mashups over streaming and stored data, in: 8th Extended Semantic Web Conference, Springer-Verlag, 2011, pp. 300-314.
[32]
A.J.G. Gray, J. Sadler, O. Kit, K. Kyzirakos, M. Karpathiotakis, J.-P. Calbimonte, K.R. Page, R. García-Castro, A. Frazer, I. Galpin, A.A.A. Fernandes, N.W. Paton, í. Corcho, M. Koubarakis, D.D. Roure, K. Martinez, A. Gómez-Pérez, A semantic sensor web for environmental decision support applications, Sensors, 11 (2011) 8855-8887.

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Published In

cover image Web Semantics: Science, Services and Agents on the World Wide Web
Web Semantics: Science, Services and Agents on the World Wide Web  Volume 17, Issue C
December 2012
45 pages

Publisher

Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 01 December 2012

Author Tags

  1. Linked sensor data
  2. Ontologies
  3. Semantic interoperability
  4. Semantic sensor web
  5. Sensor web enablement

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  • (2021)Ontologies of Action and Object in Home Environment towards Injury PreventionProceedings of the 10th International Joint Conference on Knowledge Graphs10.1145/3502223.3502239(126-130)Online publication date: 6-Dec-2021
  • (2021)SOSA-SHACL: Shapes Constraint for the Sensor, Observation, Sample, and Actuator OntologyProceedings of the 10th International Joint Conference on Knowledge Graphs10.1145/3502223.3502235(99-107)Online publication date: 6-Dec-2021
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