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SOSA: A Lightweight Ontology for Sensors, Observations, Samples, and Actuators

10 Pages Posted: 19 Sep 2018 Publication Status: Accepted

See all articles by Krzysztof Janowicz

Krzysztof Janowicz

University of California, Santa Barbara (UCSB) - Department of Geography

Armin Haller

Australian National University (ANU) - Research School of Computer Science

Simon Cox

Government of the Commonwealth of Australia - Earth Science and Resource Engineering

Danh Le Phuoc

Technische Universität Berlin (TU Berlin) - Department of Telecommunication Systems

Maxime Lefrancois

Ecole Nationale Supérieure des Mines de Saint-Etienne - Connected-Intelligence team

Abstract

The Sensor, Observation, Sample, and Actuator (SOSA) ontology provides a formal but lightweight general-purpose specification for modeling the interaction between the entities involved in the acts of observation, actuation, and sampling. SOSA is the result of rethinking the W3C-XG Semantic Sensor Network (SSN) ontology based on changes in scope and target audience, technical developments, and lessons learned over the past years. SOSA also acts as a replacement of SSN’s Stimulus Sensor Observation (SSO) core. It has been developed by the first joint working group of the Open Geospatial Consortium (OGC) and the World Wide Web Consortium (W3C) on Spatial Data on the Web. In this work, we motivate the need for SOSA, provide an overview of the main classes and properties, and briefly discuss its integration with the new release of the SSN ontology as well as various other alignments to specifications such as OGC’s Observations and Measurements (O&M), Dolce-Ultralite (DUL), and other prominent ontologies. We will also touch upon common modeling problems and application areas related to publishing and searching observation, sampling, and actuation data on the Web. The SOSA ontology and standard can be accessed at https://www.w3.org/TR/vocab-ssn/.

Keywords: Ontology, Sensor, Observation, Actuator, Linked Data, Web of Things, Internet of Things, Schema.org

Suggested Citation

Janowicz, Krzysztof and Haller, Armin and Cox, Simon and Phuoc, Danh Le and Lefrancois, Maxime, SOSA: A Lightweight Ontology for Sensors, Observations, Samples, and Actuators (September 12, 2018). Available at SSRN: https://ssrn.com/abstract=3248499 or http://dx.doi.org/10.2139/ssrn.3248499

Krzysztof Janowicz (Contact Author)

University of California, Santa Barbara (UCSB) - Department of Geography ( email )

CA 93106
United States

Armin Haller

Australian National University (ANU) - Research School of Computer Science ( email )

Canberra, Australian Capital Territory 2601
Australia

Simon Cox

Government of the Commonwealth of Australia - Earth Science and Resource Engineering

41 Boggo Rd
Dutton Park, Queensland
Australia

Danh Le Phuoc

Technische Universität Berlin (TU Berlin) - Department of Telecommunication Systems ( email )

Straße des 17
Juni 135
Berlin, 10623
Germany

Maxime Lefrancois

Ecole Nationale Supérieure des Mines de Saint-Etienne - Connected-Intelligence team ( email )

158 Cours Fauriel
St-Etienne, 42023
France

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