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Positioning System Ontology

Release 2024-12-16T00:00:00

This version:
http://purl.org/poso/1.1/
Authors:
Maxim Van de Wynckel
Contributors:
Beat Signer
Imported Ontologies:
<http://www.w3.org/ns/sosa/>
<http://www.w3.org/ns/ssn/>
<http://www.w3.org/ns/ssn/systems/>
Download serialization:
JSON-LD RDF/XML N-Triples TTL
License:
http://purl.org/NET/rdflicense/MIT1.0
Visualization:
Visualize with WebVowl
Cite as:
Maxim Van de Wynckel and Beat Signer, POSO: A Generic Positioning System Ontology
Provenance of this page
Ontology Specification Draft

Abstract

The positioning system ontology is a vocabulary for describing positioning systems and the techniques these systems use to determine a position. With POSO we aim to provide semantic meaning on how a positioning system is deployed and how results are calculated.

Positioning System Ontology: Overview back to ToC

This ontology has the following classes and properties.

Classes

Object Properties

Named Individuals

Cross-reference for Positioning System Ontology classes, object properties and data properties back to ToC

This section provides details for each class and property defined by Positioning System Ontology.

Classes

Absolute positionc back to ToC or Class ToC

IRI: http://purl.org/poso/AbsolutePosition

An absolute position describes the position of an entity based on a fixed point in space. Usually this space is the Earth and the position is expressed in latitude and longitude.
is equivalent to
geometry c
has super-classes
Position c
is in domain of
in deployment op, is relative to op

Accelerationc back to ToC or Class ToC

IRI: http://purl.org/poso/Acceleration

Acceleration is the (instantaneous) rate of change of velocity.
has super-classes
observable property, result
has sub-classes
Angular acceleration c, Linear acceleration c
is in range of
has acceleration op

Angular accelerationc back to ToC or Class ToC

IRI: http://purl.org/poso/AngularAcceleration

has super-classes
Acceleration c

Angular motionc back to ToC or Class ToC

IRI: http://purl.org/poso/AngularMotion

Angular motion around a certain origin point.
has super-classes
Motion c

Angular velocityc back to ToC or Class ToC

IRI: http://purl.org/poso/AngularVelocity

Angular velocity is the momentum around a point of origin.
has super-classes
Velocity c

Angulationc back to ToC or Class ToC

IRI: http://purl.org/poso/Angulation

Angle-based positioning techniques are positioning techniques that use angles to determine a position.
has super-classes
Positioning technique c
has sub-classes
Beamforming c, Triangulation c

Auditory landmarkc back to ToC or Class ToC

IRI: http://purl.org/poso/AuditoryLandmark

A spatial landmark that can be observed by sound.
has super-classes
Landmark c

Axis-angle orientationc back to ToC or Class ToC

IRI: http://purl.org/poso/AxisAngleOrientation

The axis-angle orientation is an orientation representation where the x, y and z values are rotated with a certain angle.
has super-classes
Orientation c

Beamformingc back to ToC or Class ToC

IRI: http://purl.org/poso/Beamforming

Beamforming is a signal processing technique that uses an array of antennas to form a directional beam of radio waves. By adjusting the direction of the beam and measuring the angle of arrival or departure of the signal, the position of a receiver can be estimated.
Is defined by
http://purl.org/poso/
has super-classes
Angulation c

Bluetooth beaconc back to ToC or Class ToC

IRI: http://purl.org/poso/BluetoothBeacon

A Bluetooth beacon is an RF landmark that advertises its transmission power and other optional information. Based on the signal strength receivers of this advertisement can determine the approximate distance.
has super-classes
RF landmark c

Bluetooth receiverc back to ToC or Class ToC

IRI: http://purl.org/poso/BluetoothReceiver

has super-classes
RF landmark c

Calibration magnitude procedurec back to ToC or Class ToC

IRI: http://purl.org/poso/CalibrationMagnitudeProcedure

has super-classes
Normalization procedure c

Calibration offset procedurec back to ToC or Class ToC

IRI: http://purl.org/poso/CalibrationOffsetProcedure

has super-classes
Normalization procedure c

Calibration procedurec back to ToC or Class ToC

IRI: http://purl.org/poso/CalibrationProcedure

Calibration is the act of using sensor data obtained by a user to configure a system to output data with a reliable result.
has super-classes
procedure
has sub-classes
Normalization procedure c

Cell identificationc back to ToC or Class ToC

IRI: http://purl.org/poso/CellIdentification

Cell identification is a positioning procedure using the position of one landmark that is within the cell.
Example
An example of cell identification is using the position of a Bluetooth beacon whenever this beacon has a high signal strength.
An example of cell identification is using the position of a QR-code when this code is scanned (and the user is presumably within a short distance).
has super-classes
Positioning technique c

Dead reckoningc back to ToC or Class ToC

IRI: http://purl.org/poso/DeadReckoning

Dead reckoning is the Procedure of calculating the current position of a moving FeatureOfInterest by using its previous position and Sensor Observation's indicating its heading and velocity.
has super-classes
Positioning technique c
has sub-classes
Odometry c, Pedestrian dead reckoning c

Euler orderc back to ToC or Class ToC

IRI: http://purl.org/poso/EulerOrder

The order in which to apply Euler rotations.
is in range of
order op
has members
X-Y-X ni, X-Y-Z ni, X-Z-Y ni, Y-X-Z ni, Y-Z-X ni, Y-Z-Y ni, Z-X-Y ni, Z-X-Z ni, Z-Y-X ni

Euler orientationc back to ToC or Class ToC

IRI: http://purl.org/poso/EulerOrientation

has super-classes
Orientation c
is in domain of
nutation op, order op, pitch op, precession op, roll op, spin op, yaw op

Fingerprintc back to ToC or Class ToC

IRI: http://purl.org/poso/Fingerprint

A fingerprint is a scene analysis at a particular absolute position.
is equivalent to
has position op exactly 1 Absolute position c
has super-classes
feature of interest c, result

Fingerprintingc back to ToC or Class ToC

IRI: http://purl.org/poso/Fingerprinting

Fingerprinting is a positioning Procedure where sensor data is collected at a specific position and orientation. During the offline-stage of a positioning system, the significant data features are extracted and stored for that position. In the online-stage, the closest match(es) of the features are determined to predict the position.
has super-classes
Positioning technique c
has sub-classes
RF fingerprinting c

High level sensor fusionc back to ToC or Class ToC

IRI: http://purl.org/poso/HighLevelFusion

High level sensor fusion is about fusing both objects and their trajectories. We're not only relying on detections, but also on predictions and tracking.
Is defined by
http://purl.org/poso/
has super-classes
Sensor fusion c

Hybrid deploymentc back to ToC or Class ToC

IRI: http://purl.org/poso/HybridDeployment

A hybrid deployment covers an indoor and outdoor deployment.
has super-classes
deployment

Indoor deploymentc back to ToC or Class ToC

IRI: http://purl.org/poso/IndoorDeployment

Describes the spatial deployment of a System in an indoor environment.
has super-classes
deployment

Indoor positioning systemc back to ToC or Class ToC

IRI: http://purl.org/poso/IndoorPositioningSystem

A positioning system that is meant to perform indoor positioning of a feature of interest.
has super-classes
Positioning system c

Inertial positioning systemc back to ToC or Class ToC

IRI: http://purl.org/poso/InertialPositioningSystem

An inertial positioning system is a positioning system employing accelerometers, gyroscopes, and computer as integral components to determine coordinates of points or objects relative to an initial known reference point
Is defined by
http://purl.org/poso/
has super-classes
Positioning system c

Integrated positioning systemc back to ToC or Class ToC

IRI: http://purl.org/poso/IntegratedPositioningSystem

An integrated positioning system is a positioning system that incorporates multiple positioning technologies.
Is defined by
http://purl.org/poso/
has super-classes
Positioning system c

Landmarkc back to ToC or Class ToC

IRI: http://purl.org/poso/Landmark

A landmark is a feature with a known position, that can be used to identify the position of an object that has a relative position with this feature.
has super-classes
feature of interest c, result, spatial object c
has sub-classes
Auditory landmark c, RF landmark c, Virtual landmark c, Visual landmark c

Laterationc back to ToC or Class ToC

IRI: http://purl.org/poso/Lateration

Is defined by
http://purl.org/poso/
has super-classes
Positioning technique c
has sub-classes
Multilateration c, Trilateration c

Linear accelerationc back to ToC or Class ToC

IRI: http://purl.org/poso/LinearAcceleration

has super-classes
Acceleration c

Linear motionc back to ToC or Class ToC

IRI: http://purl.org/poso/LinearMotion

Linear motion along a certain axis.
has super-classes
Motion c

Linear velocityc back to ToC or Class ToC

IRI: http://purl.org/poso/LinearVelocity

Linear velocity is the momentum along one ore more axis.
has super-classes
Velocity c

Location-based servicec back to ToC or Class ToC

IRI: http://purl.org/poso/LocationBasedService

A location based service (LBS) is a service that provides the location of a person or object. It provides this information without the required knowledge of the underlying technologies and algorithms.
Is defined by
http://purl.org/poso/
has super-classes
system c

Low level sensor fusionc back to ToC or Class ToC

IRI: http://purl.org/poso/LowLevelFusion

Low Level Sensor Fusion is about fusing the raw data coming from multiple sensors. For example, we fuse point clouds coming from LiDARs and pixels coming from cameras.
Is defined by
http://purl.org/poso/
has super-classes
Sensor fusion c

Magnetic odometryc back to ToC or Class ToC

IRI: http://purl.org/poso/MagneticOdometry

Magnetic field odometry is the procedure of detecting movement by analyizing how the magnetic field is changing from one Observation to another.
has super-classes
Odometry c

Map outputc back to ToC or Class ToC

IRI: http://purl.org/poso/MapOutput

has super-classes
output

Mid level sensor fusionc back to ToC or Class ToC

IRI: http://purl.org/poso/MidLevelFusion

Mid-Level sensor fusion is about fusing the objects detected independently on sensor data.
Is defined by
http://purl.org/poso/
has super-classes
Sensor fusion c

Motionc back to ToC or Class ToC

IRI: http://purl.org/poso/Motion

Motion stimulus triggering an update of a position.
has super-classes
stimulus
has sub-classes
Angular motion c, Linear motion c

Multilaterationc back to ToC or Class ToC

IRI: http://purl.org/poso/Multilateration

Multilateration is the procedure of determining a position using relative distances to other known positions.
has super-classes
Lateration c

Normalization procedurec back to ToC or Class ToC

IRI: http://purl.org/poso/NormalizationProcedure

Normalization procedure is a calibration procedure to normalize data.
has super-classes
Calibration procedure c
has sub-classes
Calibration magnitude procedure c, Calibration offset procedure c

Odometryc back to ToC or Class ToC

IRI: http://purl.org/poso/Odometry

Odometry is the Procedure of calculating the current position of a moving FeatureOfInterest by using its previous position and Sensor Observation's indicating its heading and velocity.
has super-classes
Dead reckoning c
has sub-classes
Magnetic odometry c, Visual odometry c

Optical positioning systemc back to ToC or Class ToC

IRI: http://purl.org/poso/OpticalPositioningSystem

An optical positioning system is a positioning system that determines the position of an object by means of the properties of light.
Is defined by
http://purl.org/poso/
has super-classes
Positioning system c

Orientationc back to ToC or Class ToC

IRI: http://purl.org/poso/Orientation

The orientation of a feature of interest in 2D or 3D space.
has super-classes
observable property, result
has sub-classes
Axis-angle orientation c, Euler orientation c, Quaternion orientation c
is in domain of
is relative to op
is in range of
has orientation op

Orientation outputc back to ToC or Class ToC

IRI: http://purl.org/poso/OrientationOutput

has super-classes
output

Outdoor deploymentc back to ToC or Class ToC

IRI: http://purl.org/poso/OutdoorDeployment

Describes the deployment of a System in an outdoor environment.
has super-classes
deployment

Outdoor positioning systemc back to ToC or Class ToC

IRI: http://purl.org/poso/OutdoorPositioningSystem

An outdoor positioning system defines a system that is used to determine a position outside a building without specifying the underlying technology.
has super-classes
Positioning system c

Pedestrian dead reckoningc back to ToC or Class ToC

IRI: http://purl.org/poso/PDR

Pedestrian dead reckoning (PDR) is a positioning technique where the object is assumed to be a pedestrian that is walking or running. Using this knowledge, the dead reckoning involves the detection of steps and the step length to more accurately predict the movement.
has super-classes
Dead reckoning c

Polygonal accuracyc back to ToC or Class ToC

IRI: http://purl.org/poso/PolygonalAccuracy

has super-classes
accuracy

Positionc back to ToC or Class ToC

IRI: http://purl.org/poso/Position

A position indicates where an entity is located.
has super-classes
observable property, result
has sub-classes
Absolute position c, Relative position c
is in range of
has position op

Position outputc back to ToC or Class ToC

IRI: http://purl.org/poso/PositionOutput

has super-classes
output

Positioning platformc back to ToC or Class ToC

IRI: http://purl.org/poso/PositioningPlatform

A positioning platform is a framework, architecture or platform used to develop and host a positioning system.
has super-classes
platform

Positioning systemc back to ToC or Class ToC

IRI: http://purl.org/poso/PositioningSystem

A positioning system is a system of instrumental and computational components for determining position.
Is defined by
http://purl.org/poso/
has super-classes
system c
has sub-classes
Indoor positioning system c, Inertial positioning system c, Integrated positioning system c, Optical positioning system c, Outdoor positioning system c, Satellite positioning system c

Positioning techniquec back to ToC or Class ToC

IRI: http://purl.org/poso/PositioningTechnique

A positioning technique is a procedure to sample sensor data to an output position.
has super-classes
procedure
has sub-classes
Angulation c, Cell identification c, Dead reckoning c, Fingerprinting c, Lateration c, Simultaneous localisation and mapping c

Proximityc back to ToC or Class ToC

IRI: http://purl.org/poso/Proximity

Stimulus whenever two Feature of Interests are within close proximity.
Example
A Feature Of Interest can be within close proximity of another Feature Of Interest without movement whenever the other Feature moved wihin the proximity of the first Feature.
has super-classes
stimulus

Quaternion orientationc back to ToC or Class ToC

IRI: http://purl.org/poso/QuaternionOrientation

has super-classes
Orientation c

Radio propagationc back to ToC or Class ToC

IRI: http://purl.org/poso/RadioPropagation

The radio propagation formulas cover the computation of the radio waves through a medium (e.g. air).
Is defined by
http://purl.org/poso/
has super-classes
procedure

Relative accelerationc back to ToC or Class ToC

IRI: http://purl.org/poso/RelativeAcceleration

A relative acceleration is a quantitative acceleration relative to another feature of interest.
has super-classes
Relative position c

Relative anglec back to ToC or Class ToC

IRI: http://purl.org/poso/RelativeAngle

A relative angle is a quantitative angle relative to another feature of interest.
Example
An example of relative angle is the Angle of Arrival.
has super-classes
Relative position c

Relative distancec back to ToC or Class ToC

IRI: http://purl.org/poso/RelativeDistance

A relative distance is a quantitative distance relative to another feature of interest.
has super-classes
Relative position c
is in range of
has relative distance op

Relative positionc back to ToC or Class ToC

IRI: http://purl.org/poso/RelativePosition

A relative position is a position of a feature of interest with respect to the positions of other objects that this position is relative to.
Is defined by
http://purl.org/poso/
has super-classes
Position c
has sub-classes
Relative acceleration c, Relative angle c, Relative distance c, Relative signal strength c, Relative velocity c
is in domain of
is relative to op
is in range of
has relative position op

Relative signal strengthc back to ToC or Class ToC

IRI: http://purl.org/poso/RelativeSignalStrength

A relative signal strength is a received signal strength transmitted by another (RF) feature of interest.
has super-classes
Relative position c
is in range of
has relative signal strength op

Relative velocityc back to ToC or Class ToC

IRI: http://purl.org/poso/RelativeVelocity

A relative velocity is a quantitative velocity relative to another feature of interest.
has super-classes
Relative position c

RF fingerprintingc back to ToC or Class ToC

IRI: http://purl.org/poso/RadioFrequencyFingerprinting

Radio frequency fingerprinting or RF fingerprinting is a technique where RF signals are used to create a unique fingerprint at a current location.
has super-classes
Fingerprinting c

RF landmarkc back to ToC or Class ToC

IRI: http://purl.org/poso/RFLandmark

A radio frequency landmark is a transmitting landmark that can be observed by its transmitting signals.
Example
An RF landmark example is a Bluetooth beacon that sends out a signal. Receivers of this signal can use the known position of this landmark to determine their relative position.
has super-classes
Landmark c
has sub-classes
Bluetooth beacon c, Bluetooth receiver c

Satellite positioning systemc back to ToC or Class ToC

IRI: http://purl.org/poso/SatellitePositioningSystem

In this context, satellite positioning implies the use of radio signals transmitted from "active" artificial objects orbiting the Earth and received by "passive" instruments on or near the Earth's surface to determine position, velocity, and/or attitude of an object.
Is defined by
http://purl.org/poso/
has super-classes
Positioning system c

Sensor fusionc back to ToC or Class ToC

IRI: http://purl.org/poso/SensorFusion

Sensor fusion is a procedure where multiple sensor data is combined to obtain a more reliable or accurate result.
Is defined by
http://purl.org/poso/
has super-classes
procedure
has sub-classes
High level sensor fusion c, Low level sensor fusion c, Mid level sensor fusion c

Sensor inputc back to ToC or Class ToC

IRI: http://purl.org/poso/SensorInput

Sensor input is input data provided by a sosa:Sensor
has super-classes
input
has sub-classes
Visual input c

Simultaneous localisation and mappingc back to ToC or Class ToC

IRI: http://purl.org/poso/SLAM

Simultaneous localization and mapping (SLAM) is the computational problem of constructing or updating a map of an unknown environment while simultaneously keeping track of an agent's location within it.
Is defined by
http://purl.org/poso/
has super-classes
Positioning technique c
has sub-classes
Visual simultaneous localisation and mapping c

Spatial Reference Systemc back to ToC or Class ToC

IRI: http://purl.org/poso/SRS

An identifiable and observable spatial reference system that represents the System's ability to operate its primary purpose in a specified reference system.
has super-classes
system property

Tracked featurec back to ToC or Class ToC

IRI: http://purl.org/poso/TrackedFeature

A feature of interest that is being tracked by a positioning system. This is the feature for which a position is observed.
Example
The phone of a person that is being tracked in an indoor positioning system is the tracked feature.
has super-classes
feature of interest c, spatial object c

Triangulationc back to ToC or Class ToC

IRI: http://purl.org/poso/Triangulation

Triangulation is the procedure of determining a position using relative angles to a feature of interest with a known position.
has super-classes
Angulation c

Trilaterationc back to ToC or Class ToC

IRI: http://purl.org/poso/Trilateration

Trilateration is a positioning technique that uses exactly three reference points in 2D and four reference points in 3D to determine a position.
has super-classes
Lateration c

Velocityc back to ToC or Class ToC

IRI: http://purl.org/poso/Velocity

Linear or angular velocity of a feature.
has super-classes
observable property, result
has sub-classes
Angular velocity c, Linear velocity c
is in range of
has velocity op

Virtual landmarkc back to ToC or Class ToC

IRI: http://purl.org/poso/VirtualLandmark

A virtual landmark is a spatial landmark with a known absolute or relative position but which is not detectable by any sensors without additional context.
Example
An example of a virtual landmark is a marker at a specific location.
Image features can be considered landmarks as they are used by odometry and VSLAM algorithms.
has super-classes
Landmark c

Visual inputc back to ToC or Class ToC

IRI: http://purl.org/poso/VisualInput

has super-classes
Sensor input c

Visual landmarkc back to ToC or Class ToC

IRI: http://purl.org/poso/VisualLandmark

A visual landmark is a feature of interest that visually present in the space.
has super-classes
Landmark c

Visual odometryc back to ToC or Class ToC

IRI: http://purl.org/poso/VisualOdometry

Visual odometry is the procedure of detecting movement by analyzing how visual features are moving from one Observation image frame to another.
has super-classes
Odometry c

Visual simultaneous localisation and mappingc back to ToC or Class ToC

IRI: http://purl.org/poso/VSLAM

Visual simultaneous localisation and mapping (VSLAM) is a positioning techniques that uses visual imagery to map an environment. Positioning works by detecting features of interest in image frames and comparing how these features move from one frame to another.
has super-classes
Simultaneous localisation and mapping c

Object Properties

angleop back to ToC or Object Property ToC

IRI: http://purl.org/poso/angle

Quantitative angle result value for axis-angle representation.

has characteristics: functional

has domain
result
has range
class c

has accelerationop back to ToC or Object Property ToC

IRI: http://purl.org/poso/hasAcceleration

Property that links a feature of interest to a unique acceleration property related to this feature.
has super-properties
has property
has domain
feature of interest c
has range
Acceleration c
is inverse of
is acceleration of op

has accuracyop back to ToC or Object Property ToC

IRI: http://purl.org/poso/hasAccuracy

The accuracy of an entity.

has characteristics: functional

has super-properties
has property

has coordinate reference systemop back to ToC or Object Property ToC

IRI: http://purl.org/poso/hasCRS

has super-properties
has spatial reference system op

has orientationop back to ToC or Object Property ToC

IRI: http://purl.org/poso/hasOrientation

Indicates the orientation of a feature of interest.
has super-properties
has property
has domain
feature of interest c
has range
Orientation c
is inverse of
is orientation of op

has positionop back to ToC or Object Property ToC

IRI: http://purl.org/poso/hasPosition

Indicates the absolute or relative position of a feature of interest.
has super-properties
has property
has sub-properties
has relative position op
has domain
feature of interest c
has range
Position c
is inverse of
is position of op

has relative distanceop back to ToC or Object Property ToC

IRI: http://purl.org/poso/hasRelativeDistance

has super-properties
has relative position op
has range
Relative distance c

has relative positionop back to ToC or Object Property ToC

IRI: http://purl.org/poso/hasRelativePosition

has super-properties
has position op
has sub-properties
has relative distance op, has relative signal strength op
has range
Relative position c
is inverse of
is relative to op

has relative signal strengthop back to ToC or Object Property ToC

IRI: http://purl.org/poso/hasRSS

has super-properties
has relative position op
has range
Relative signal strength c

has spatial reference systemop back to ToC or Object Property ToC

IRI: http://purl.org/poso/hasSRS

Identifies an entity that has a spatial reference system in order to interpret the result.
has sub-properties
has coordinate reference system op
has domain
thing c

has velocityop back to ToC or Object Property ToC

IRI: http://purl.org/poso/hasVelocity

Indicates the velocity of a feature of interest.
has super-properties
has property
has domain
feature of interest c
has range
Velocity c
is inverse of
is velocity of op

in deploymentop back to ToC or Object Property ToC

IRI: http://purl.org/poso/inDeployment

has domain
Absolute position c
has range
deployment

is acceleration ofop back to ToC or Object Property ToC

IRI: http://purl.org/poso/isAccelerationOf

has super-properties
is property of
is inverse of
has acceleration op

is orientation ofop back to ToC or Object Property ToC

IRI: http://purl.org/poso/isOrientationOf

has super-properties
is property of
is inverse of
has orientation op

is position ofop back to ToC or Object Property ToC

IRI: http://purl.org/poso/isPositionOf

has super-properties
is property of
is inverse of
has position op

is relative toop back to ToC or Object Property ToC

IRI: http://purl.org/poso/isRelativeTo

Indicates a position or orientation to be relative to another feature of interest.
Example
A person can have a relative distance to another feature of interest. When a feature is moving (i.e. when the geometry changes based on time) the distance remains relative to the feature and not the geometry at a specific point in time.
has domain
Absolute position c
Orientation c
Relative position c
has range
feature of interest c
is inverse of
has relative position op

is velocity ofop back to ToC or Object Property ToC

IRI: http://purl.org/poso/isVelocityOf

has super-properties
is property of
is inverse of
has velocity op

made by procecureop back to ToC or Object Property ToC

IRI: http://purl.org/poso/madeByProcedure

Input type outputted by another procedure
has domain
input
has range
procedure

made by systemop back to ToC or Object Property ToC

IRI: http://purl.org/poso/madeBySystem

A relation to a re-usable system that computed the observation.
has domain
observation
has range
system c

nutationop back to ToC or Object Property ToC

IRI: http://purl.org/poso/nutation

has domain
Euler orientation c

observes typeop back to ToC or Object Property ToC

IRI: http://purl.org/poso/observesType

The relation between a system and an observable property class to identify that a system observes a specific type of property.
has super-properties
for property
has domain
system c
has range
class c

orderop back to ToC or Object Property ToC

IRI: http://purl.org/poso/order

has domain
Euler orientation c
has range
Euler order c

pitchop back to ToC or Object Property ToC

IRI: http://purl.org/poso/pitch

Pitch is the rotation around the axis with respect to the object the yaw applies to.

has characteristics: functional

has domain
Euler orientation c
has range
thing c

precessionop back to ToC or Object Property ToC

IRI: http://purl.org/poso/precession

has domain
Euler orientation c

rollop back to ToC or Object Property ToC

IRI: http://purl.org/poso/roll

Roll is the rotation around the axis with respect to the object the roll applies to.

has characteristics: functional

has domain
Euler orientation c
has range
thing c

scalarop back to ToC or Object Property ToC

IRI: http://purl.org/poso/scalar

has characteristics: functional

has domain
result
has range
thing c

spinop back to ToC or Object Property ToC

IRI: http://purl.org/poso/spin

has domain
Euler orientation c

x-axis valueop back to ToC or Object Property ToC

IRI: http://purl.org/poso/xAxisValue

Quantitative result value along the X-axis of a spatial sensor or result.

has characteristics: functional

has domain
result
has range
thing c

y-axis valueop back to ToC or Object Property ToC

IRI: http://purl.org/poso/yAxisValue

Quantitative result value along the Y-axis of a spatial sensor or result.

has characteristics: functional

has domain
result
has range
class c

yawop back to ToC or Object Property ToC

IRI: http://purl.org/poso/yaw

Yaw is the rotation around the axis with respect to the object the yaw applies to.

has characteristics: functional

has domain
Euler orientation c
has range
thing c

z-axis valueop back to ToC or Object Property ToC

IRI: http://purl.org/poso/zAxisValue

Quantitative result value along the Z-axis of a spatial sensor.

has characteristics: functional

has domain
result
has range
thing c

Named Individuals

X-Y-Xni back to ToC or Named Individual ToC

IRI: http://purl.org/poso/XYX

The Euler rotation order for proper Euler angles.
belongs to
Euler order c

X-Y-Zni back to ToC or Named Individual ToC

IRI: http://purl.org/poso/XYZ

The Euler rotation (Tait–Bryan) order of X-axis, Y-axis, Z-axis.
belongs to
Euler order c

X-Z-Yni back to ToC or Named Individual ToC

IRI: http://purl.org/poso/XZY

The Euler rotation (Tait–Bryan) order of X-axis, Y-axis, Z-axis.
belongs to
Euler order c

Y-X-Zni back to ToC or Named Individual ToC

IRI: http://purl.org/poso/YXZ

The Euler rotation (Tait–Bryan) order of X-axis, Y-axis, Z-axis.
belongs to
Euler order c

Y-Z-Xni back to ToC or Named Individual ToC

IRI: http://purl.org/poso/YZX

The Euler rotation (Tait–Bryan) order of X-axis, Y-axis, Z-axis.
belongs to
Euler order c

Y-Z-Yni back to ToC or Named Individual ToC

IRI: http://purl.org/poso/YZY

The Euler rotation order for proper Euler angles.
belongs to
Euler order c

Z-X-Yni back to ToC or Named Individual ToC

IRI: http://purl.org/poso/ZXY

The Euler rotation (Tait–Bryan) order of X-axis, Y-axis, Z-axis.
belongs to
Euler order c

Z-X-Zni back to ToC or Named Individual ToC

IRI: http://purl.org/poso/ZXZ

The Euler rotation order for proper Euler angles.
belongs to
Euler order c

Z-Y-Xni back to ToC or Named Individual ToC

IRI: http://purl.org/poso/ZYX

The Euler rotation (Tait–Bryan) order of X-axis, Y-axis, Z-axis.
belongs to
Euler order c

Legend back to ToC

c: Classes
op: Object Properties
ni: Named Individuals

Acknowledgments back to ToC

The authors would like to thank Silvio Peroni for developing LODE, a Live OWL Documentation Environment, which is used for representing the Cross Referencing Section of this document and Daniel Garijo for developing Widoco, the program used to create the template used in this documentation.