OGC W3C Semantic Sensor Network Ontology | Agrisemantics Map of Data Standards

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The Semantic Sensor Network Ontology (SSN) is an ontology for describing sensors and their observations, the involved procedures, the studied features of interest, the samples used to do so, and the observed properties, as well as actuators. SSN follows a horizontal and vertical modularization architecture by including a lightweight but self-contained core ontology called SOSA (Sensor, Observation, Sample, and Actuator) for its elementary classes and properties. Given their different scope and degree of axiomatization, SSN and SOSA support a wide range of applications and use cases, including satellite imagery, large-scale scientific monitoring, industrial and household infrastructures, social sensing, citizen science, observation-driven ontology engineering, and the Web of Things.

Form

Core information

URL(s):

https://www.w3.org/TR/vocab-ssn/

Publisher(s) / Maintainer(s):

W3C

Domain(s):

Natural Resources, Earth and Environment, [Peripheral / neighbouring domains], Meteorology and Climatology

Type of standard:

Ontology

Describes / models / annotates:

Natural Resources, Earth and Environment data, Hydrological data, Soil data, Weather / meteorological data, Weather monitoring infrastructure, Description and configuration of sensor networks, Observation and reporting facilities, Observed field data from the farm, Observations and measurement (all domains), Farm management data, Value chain data, Socio-economic data, [General / cross-cutting]

Segment of the value chain:

Research

Conditions (weather, soli...)

Additional information

Contact email:

public-sdw-comments@w3.org

Publication year:

2009

License(s):

W3C License

Status:

Broadly recognized in its scope

Technical information

Format of the data standard:

HTML, RDF/XML

Namespace:

http://www.w3.org/ns/ssn/

Download / dump:

https://www.w3.org/ns/ssn/

Link to machine-readable description:

https://www.w3.org/ns/ssn/

Relations

Uses (link to vocabulary in the map):

OGC Sensor Model Language (SensorML)

RDF vocabulary

RDF "language":

OWL

RDFS

VEST / AgroPortal integration

Original source:

VEST Registry

Assessment

An overview of criteria used for the assessment can be found here.

Total score:

2.34

assessment tabs

Fitness / adoption

Complete:

Yes, complete, consistent and granular

Authoritative:

Yes

Largely compatible:

Yes

Known:

Yes, moderately

Used in software:

Not clear - N/A

Used in datasets:

Not clear - N/A

Discoverable:

Yes

Regulatory:

Endorsed:

Yes, very strongly

Long-term, sustainable:

Yes, highly

Participatory, collaborative:

Not clear - N/A

Maintained:

Yes

Scores

Avg fitness:

3.33

Avg adoption:

1.89

Usability / openness

Available on the web:

Yes

Versatile:

Served by APIs:

Manageable:

Not clear - N/A

Documented:

Yes

Supported:

Yes

Testable:

Not clear - N/A

Machine-readable:

Yes

Meaningful:

Yes

Annotated:

Yes

Referenceable:

Yes

Linked:

Yes

Clearly licensed:

Yes

Openly licensed:

Scores

Avg usability:

1.57

Avg openness:

2.57

Notes on assessment:

First assessment done by FAO

URI: https://vest.agrisemantics.org/node/20117

RDF

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