Sensor Observation Service
E856254
Sensor Observation Service is an Open Geospatial Consortium web service standard for requesting, filtering, and retrieving observations and sensor data from heterogeneous sensor systems.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Sensor Observation Service canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T10329999 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
Target entity: Sensor Observation Service Context triple: [Open Geospatial Consortium, standard, Sensor Observation Service]
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A.
CMU Highly Intelligent Mobile Platform
CMU Highly Intelligent Mobile Platform (CHIMP) is a sophisticated humanoid robot developed at Carnegie Mellon University for advanced mobility, manipulation, and autonomous operation in challenging environments.
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B.
Bixby Vision
Bixby Vision is Samsung’s image-recognition and augmented reality feature that lets users identify objects, translate text, and obtain contextual information through their device’s camera.
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C.
SenSys
SenSys is a premier ACM research conference focusing on embedded networked sensor systems and related technologies.
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D.
SLAM
SLAM is a major art museum in St. Louis, Missouri, renowned for its extensive collection spanning thousands of years and diverse cultures.
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E.
S-100 feature catalogue framework
The S-100 feature catalogue framework is a standardized model and methodology developed by the IHO for defining, organizing, and encoding geospatial features and attributes in modern hydrographic and marine information products.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Sensor Observation Service Target entity description: Sensor Observation Service is an Open Geospatial Consortium web service standard for requesting, filtering, and retrieving observations and sensor data from heterogeneous sensor systems.
-
A.
CMU Highly Intelligent Mobile Platform
CMU Highly Intelligent Mobile Platform (CHIMP) is a sophisticated humanoid robot developed at Carnegie Mellon University for advanced mobility, manipulation, and autonomous operation in challenging environments.
-
B.
Bixby Vision
Bixby Vision is Samsung’s image-recognition and augmented reality feature that lets users identify objects, translate text, and obtain contextual information through their device’s camera.
-
C.
SenSys
SenSys is a premier ACM research conference focusing on embedded networked sensor systems and related technologies.
-
D.
SLAM
SLAM is a major art museum in St. Louis, Missouri, renowned for its extensive collection spanning thousands of years and diverse cultures.
-
E.
S-100 feature catalogue framework
The S-100 feature catalogue framework is a standardized model and methodology developed by the IHO for defining, organizing, and encoding geospatial features and attributes in modern hydrographic and marine information products.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
OGC standard
ⓘ
sensor web enablement standard ⓘ web service standard ⓘ |
| abbreviation | SOS NERFINISHED ⓘ |
| applicationDomain |
Internet of Things
NERFINISHED
ⓘ
air quality monitoring ⓘ disaster management ⓘ environmental monitoring ⓘ hydrology ⓘ meteorology ⓘ oceanography ⓘ smart cities ⓘ |
| basedOn |
HTTP
ⓘ
OGC Web Services framework NERFINISHED ⓘ XML ⓘ |
| conformsTo | service-oriented architecture principles ⓘ |
| dataModel |
features of interest
ⓘ
measurements ⓘ observations ⓘ procedures ⓘ |
| defines |
operations for accessing sensor metadata
ⓘ
operations for describing sensors ⓘ operations for retrieving observations ⓘ |
| developer | Open Geospatial Consortium NERFINISHED ⓘ |
| domain |
geospatial information
ⓘ
sensor data ⓘ |
| enables |
discovery of sensor observations over the web
ⓘ
integration of heterogeneous sensor systems ⓘ |
| publisher | Open Geospatial Consortium NERFINISHED ⓘ |
| purpose |
access heterogeneous sensor systems
ⓘ
filter observations from sensors ⓘ request observations from sensors ⓘ retrieve observations from sensors ⓘ |
| relatedTo |
Sensor Model Language
NERFINISHED
ⓘ
Sensor Planning Service NERFINISHED ⓘ Sensor Web Enablement NERFINISHED ⓘ Web Feature Service NERFINISHED ⓘ Web Map Service NERFINISHED ⓘ |
| standardizes |
access to sensor observations
ⓘ
interoperable sensor data exchange ⓘ |
| supports |
filtering by feature of interest
ⓘ
filtering by location ⓘ filtering by observed property ⓘ filtering by time ⓘ spatiotemporal queries ⓘ |
| uses |
OGC Filter Encoding
NERFINISHED
ⓘ
OGC Observations and Measurements model NERFINISHED ⓘ OGC SensorML NERFINISHED ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Subject: Sensor Observation Service Description of subject: Sensor Observation Service is an Open Geospatial Consortium web service standard for requesting, filtering, and retrieving observations and sensor data from heterogeneous sensor systems.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.