Core Computational Index ontology

Classes

Adjust a value by adding a value^c back to ToC or Class ToC

IRI: http://purl.org/weso/ontology/computex#Adjust

has super-classes: Computation^c

Cluster a dataset by copying only the values of some dimension^c back to ToC or Class ToC

IRI: http://purl.org/weso/ontology/computex#Cluster

Data values that have been clustered by the value of one dimension

has super-classes: Computation^c
is also defined as: named individual

Component^c back to ToC or Class ToC

IRI: http://purl.org/weso/ontology/computex#Component

A component is an aggregation of several indicators

is in range of: has-component^op

Computation^c back to ToC or Class ToC

IRI: http://purl.org/weso/ontology/computex#Computation

has sub-classes: Adjust a value by adding a value^c, Cluster a dataset by copying only the values of some dimension^c, Impute a value as the average growth of a list of values^c, Impute values from a Slice^c, Mean of a group of observations^c, Mean of other observations^c, Normalize an observation (z-score)^c, Obtain from an observation and a weightSchema^c, Ranking of a slice^c, Raw data^c, Value copied from other observation^c, Value copied from other observation^c, Weight value^c, Weighted mean using a weightSchema^c

Error Parameter^c back to ToC or Class ToC

IRI: http://purl.org/weso/ontology/computex#ErrorParam

has super-classes: Parameter^c
is in range of: error param^op

Filter definition^c back to ToC or Class ToC

IRI: http://purl.org/weso/ontology/computex#FilterDefinition

High^c back to ToC or Class ToC

IRI: http://purl.org/weso/ontology/computex#High

A high value is preferred than a lower one

has super-classes: High/Low^c
is also defined as: named individual

High/Low^c back to ToC or Class ToC

IRI: http://purl.org/weso/ontology/computex#HighLow

has sub-classes: High^c, Low^c
is also defined as: named individual

Impute a value as the average growth of a list of values^c back to ToC or Class ToC

IRI: http://purl.org/weso/ontology/computex#AverageGrowth

has super-classes: Computation^c

Impute values from a Slice^c back to ToC or Class ToC

IRI: http://purl.org/weso/ontology/computex#ImputedSlice

has super-classes: Computation^c

Index^c back to ToC or Class ToC

IRI: http://purl.org/weso/ontology/computex#Index

Indicator^c back to ToC or Class ToC

IRI: http://purl.org/weso/ontology/computex#Indicator

A given indicator. Several indicators make a Component

has sub-classes: Ranking Score^c
is in domain of: has-component^op
is in range of: indicator^op

Low^c back to ToC or Class ToC

IRI: http://purl.org/weso/ontology/computex#Low

A low value is preferred than a higher one

has super-classes: High/Low^c
is also defined as: named individual

Mean of a group of observations^c back to ToC or Class ToC

IRI: http://purl.org/weso/ontology/computex#GroupMean

has super-classes: Computation^c

Mean of other observations^c back to ToC or Class ToC

IRI: http://purl.org/weso/ontology/computex#Mean

has super-classes: Computation^c

Normalize an observation (z-score)^c back to ToC or Class ToC

IRI: http://purl.org/weso/ontology/computex#Normalize

has super-classes: Computation^c

Observation^c back to ToC or Class ToC

IRI: http://purl.org/weso/ontology/computex#Observation

An observation

is in domain of: indicator^op

Obtain from an observation and a weightSchema^c back to ToC or Class ToC

IRI: http://purl.org/weso/ontology/computex#Weight

has super-classes: Computation^c

Parameter^c back to ToC or Class ToC

IRI: http://purl.org/weso/ontology/computex#Param

has sub-classes: Error Parameter^c
is in domain of: name^op

Ranking of a slice^c back to ToC or Class ToC

IRI: http://purl.org/weso/ontology/computex#Ranking

has super-classes: Computation^c

Ranking Score^c back to ToC or Class ToC

IRI: http://purl.org/weso/ontology/computex#RankingScore

has super-classes: Indicator^c

Raw data^c back to ToC or Class ToC

IRI: http://purl.org/weso/ontology/computex#Raw

Raw data values that have been collected from a datasource without any normalisation process.

has super-classes: Computation^c
is also defined as: named individual

Sheet data^c back to ToC or Class ToC

IRI: http://purl.org/weso/ontology/computex#SheetData

has super-classes: concept^c

Subindex^c back to ToC or Class ToC

IRI: http://purl.org/weso/ontology/computex#SubIndex

Validation Error^c back to ToC or Class ToC

IRI: http://purl.org/weso/ontology/computex#Error

is equivalent to: outcome^op value failed
has super-classes: test result^c
is in domain of: error param^op

Value copied from other observation^c back to ToC or Class ToC

IRI: http://purl.org/weso/ontology/computex#Copy

has super-classes: Computation^c

Value copied from other observation^c back to ToC or Class ToC

IRI: http://purl.org/weso/ontology/computex#Filter

has super-classes: Computation^c

Weight value^c back to ToC or Class ToC

IRI: http://purl.org/weso/ontology/computex#Weighted

has super-classes: Computation^c

Weighted mean using a weightSchema^c back to ToC or Class ToC

IRI: http://purl.org/weso/ontology/computex#WeightedMean

has super-classes: Computation^c

error param^op back to ToC or Object Property ToC

IRI: http://purl.org/weso/ontology/computex#errorParam

has domain: Validation Error^c
has range: Error Parameter^c

has-component^op back to ToC or Object Property ToC

IRI: http://purl.org/weso/ontology/computex#component

Component that provides the indicator

has domain: Indicator^c
has range: Component^c

high/low property^op back to ToC or Object Property ToC

IRI: http://purl.org/weso/ontology/computex#highLow

Indicates which value if High (Low) values are preferred

has range: concept^c

indicator^op back to ToC or Object Property ToC

IRI: http://purl.org/weso/ontology/computex#indicator

has characteristics: functional

has domain: Observation^c
has range: Indicator^c

name^op back to ToC or Object Property ToC

IRI: http://purl.org/weso/ontology/computex#name

has domain: Parameter^c
has range: string^c
is also defined as: data property

unit of measure property^op back to ToC or Object Property ToC

IRI: http://purl.org/weso/ontology/computex#unit

Measure unit

has range: resource^c

Named Individuals

Cluster a dataset by copying only the values of some dimension
Computed data
High
High/Low
Imputed data
Low
Normalized data
Ranked data
Raw data

Cluster a dataset by copying only the values of some dimensionⁿⁱ back to ToC or Named Individual ToC

IRI: http://purl.org/weso/ontology/computex#Cluster

belongs to: obs status^c
is also defined as: class

Computed dataⁿⁱ back to ToC or Named Individual ToC

IRI: http://purl.org/weso/ontology/computex#Computed

Data values that have been computed by some algorithm.

belongs to: obs status^c

Highⁿⁱ back to ToC or Named Individual ToC

IRI: http://purl.org/weso/ontology/computex#High

belongs to: concept^c
is also defined as: class

High/Lowⁿⁱ back to ToC or Named Individual ToC

IRI: http://purl.org/weso/ontology/computex#HighLow

belongs to: concept^c
is also defined as: class

Imputed dataⁿⁱ back to ToC or Named Individual ToC

IRI: http://purl.org/weso/ontology/computex#Imputed

Data values that have been imputed from their raw version

belongs to: obs status^c

Lowⁿⁱ back to ToC or Named Individual ToC

IRI: http://purl.org/weso/ontology/computex#Low

belongs to: concept^c
is also defined as: class

Normalized dataⁿⁱ back to ToC or Named Individual ToC

IRI: http://purl.org/weso/ontology/computex#Normalized

Data values that have been normalized. Usually by z-scores

belongs to: obs status^c

Ranked dataⁿⁱ back to ToC or Named Individual ToC

IRI: http://purl.org/weso/ontology/computex#Ranked

Data values that have been obtained by ranking their position.

belongs to: obs status^c

Raw dataⁿⁱ back to ToC or Named Individual ToC

IRI: http://purl.org/weso/ontology/computex#Raw

belongs to: obs status^c
is also defined as: class

This HTML document was obtained by processing the OWL ontology source code through LODE, Live OWL Documentation Environment, developed by Silvio Peroni.

Core Computational Index ontology

Abstract

Table of Content

Classes

Adjust a value by adding a valuec back to ToC or Class ToC

Cluster a dataset by copying only the values of some dimensionc back to ToC or Class ToC

Componentc back to ToC or Class ToC

Computationc back to ToC or Class ToC

Error Parameterc back to ToC or Class ToC

Filter definitionc back to ToC or Class ToC

Highc back to ToC or Class ToC

High/Lowc back to ToC or Class ToC

Impute a value as the average growth of a list of valuesc back to ToC or Class ToC

Impute values from a Slicec back to ToC or Class ToC

Indexc back to ToC or Class ToC

Indicatorc back to ToC or Class ToC

Lowc back to ToC or Class ToC

Mean of a group of observationsc back to ToC or Class ToC

Mean of other observationsc back to ToC or Class ToC

Normalize an observation (z-score)c back to ToC or Class ToC

Observationc back to ToC or Class ToC

Obtain from an observation and a weightSchemac back to ToC or Class ToC

Parameterc back to ToC or Class ToC

Ranking of a slicec back to ToC or Class ToC

Ranking Scorec back to ToC or Class ToC

Raw datac back to ToC or Class ToC

Sheet datac back to ToC or Class ToC

Subindexc back to ToC or Class ToC

Validation Errorc back to ToC or Class ToC

Value copied from other observationc back to ToC or Class ToC

Value copied from other observationc back to ToC or Class ToC

Weight valuec back to ToC or Class ToC

Weighted mean using a weightSchemac back to ToC or Class ToC

Object Properties

error paramop back to ToC or Object Property ToC

has-componentop back to ToC or Object Property ToC

high/low propertyop back to ToC or Object Property ToC

indicatorop back to ToC or Object Property ToC

nameop back to ToC or Object Property ToC

unit of measure propertyop back to ToC or Object Property ToC

Data Properties

MD5 Checksumdp back to ToC or Data Property ToC

Messagedp back to ToC or Data Property ToC

Named Individuals

Cluster a dataset by copying only the values of some dimensionni back to ToC or Named Individual ToC

Computed datani back to ToC or Named Individual ToC

Highni back to ToC or Named Individual ToC

High/Lowni back to ToC or Named Individual ToC

Imputed datani back to ToC or Named Individual ToC

Lowni back to ToC or Named Individual ToC

Normalized datani back to ToC or Named Individual ToC

Ranked datani back to ToC or Named Individual ToC

Raw datani back to ToC or Named Individual ToC

Annotation Properties

broaderap back to ToC or Annotation Property ToC

Namespace Declarations back to ToC

Adjust a value by adding a value^c back to ToC or Class ToC

Cluster a dataset by copying only the values of some dimension^c back to ToC or Class ToC

Component^c back to ToC or Class ToC

Computation^c back to ToC or Class ToC

Error Parameter^c back to ToC or Class ToC

Filter definition^c back to ToC or Class ToC

High^c back to ToC or Class ToC

High/Low^c back to ToC or Class ToC

Impute a value as the average growth of a list of values^c back to ToC or Class ToC

Impute values from a Slice^c back to ToC or Class ToC

Index^c back to ToC or Class ToC

Indicator^c back to ToC or Class ToC

Low^c back to ToC or Class ToC

Mean of a group of observations^c back to ToC or Class ToC

Mean of other observations^c back to ToC or Class ToC

Normalize an observation (z-score)^c back to ToC or Class ToC

Observation^c back to ToC or Class ToC

Obtain from an observation and a weightSchema^c back to ToC or Class ToC

Parameter^c back to ToC or Class ToC

Ranking of a slice^c back to ToC or Class ToC

Ranking Score^c back to ToC or Class ToC

Raw data^c back to ToC or Class ToC

Sheet data^c back to ToC or Class ToC

Subindex^c back to ToC or Class ToC

Validation Error^c back to ToC or Class ToC

Value copied from other observation^c back to ToC or Class ToC

Value copied from other observation^c back to ToC or Class ToC

Weight value^c back to ToC or Class ToC

Weighted mean using a weightSchema^c back to ToC or Class ToC

error param^op back to ToC or Object Property ToC

has-component^op back to ToC or Object Property ToC

high/low property^op back to ToC or Object Property ToC

indicator^op back to ToC or Object Property ToC

name^op back to ToC or Object Property ToC

unit of measure property^op back to ToC or Object Property ToC

MD5 Checksum^dp back to ToC or Data Property ToC

Message^dp back to ToC or Data Property ToC

Cluster a dataset by copying only the values of some dimensionⁿⁱ back to ToC or Named Individual ToC

Computed dataⁿⁱ back to ToC or Named Individual ToC

Highⁿⁱ back to ToC or Named Individual ToC

High/Lowⁿⁱ back to ToC or Named Individual ToC

Imputed dataⁿⁱ back to ToC or Named Individual ToC

Lowⁿⁱ back to ToC or Named Individual ToC

Normalized dataⁿⁱ back to ToC or Named Individual ToC

Ranked dataⁿⁱ back to ToC or Named Individual ToC

Raw dataⁿⁱ back to ToC or Named Individual ToC

broader^ap back to ToC or Annotation Property ToC