View as:
CSV
RDF/XML
<rdf:RDF
xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
xmlns:j.0="http://qudt.org/schema/qudt/"
xmlns:j.1="http://purl.org/dc/terms/"
xmlns:owl="http://www.w3.org/2002/07/owl#"
xmlns:j.2="http://www.w3.org/ns/shacl#"
xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#"
xmlns:xsd="http://www.w3.org/2001/XMLSchema#" >
<rdf:Description rdf:about="http://qudt.org/schema/qudt/OrdinalScale">
<j.2:property rdf:resource="http://qudt.org/schema/qudt/OrdinalScale-order"/>
<rdf:type rdf:resource="http://www.w3.org/ns/shacl#NodeShape"/>
<rdfs:isDefinedBy rdf:resource="http://qudt.org/3.0.0/schema/shacl/qudt"/>
<rdf:type rdf:resource="http://www.w3.org/2000/01/rdf-schema#Class"/>
<rdfs:subClassOf rdf:resource="http://qudt.org/schema/qudt/Scale"/>
<rdfs:subClassOf rdf:nodeID="A0"/>
<rdfs:seeAlso rdf:resource="http://qudt.org/schema/qudt/NominalScale"/>
<j.0:informativeReference rdf:datatype="http://www.w3.org/2001/XMLSchema#anyURI">https://en.wikipedia.org/wiki/Level_of_measurement</j.0:informativeReference>
<rdfs:seeAlso rdf:resource="http://qudt.org/schema/qudt/IntervalScale"/>
<rdfs:isDefinedBy rdf:resource="http://qudt.org/3.0.0/schema/qudt"/>
<rdf:type rdf:resource="http://www.w3.org/2002/07/owl#Class"/>
<rdfs:seeAlso rdf:resource="http://qudt.org/schema/qudt/RatioScale"/>
<rdfs:label>Ordinal scale</rdfs:label>
<j.1:description rdf:datatype="http://www.w3.org/1999/02/22-rdf-syntax-ns#HTML">
<p>The ordinal type allows for rank order (1st, 2nd, 3rd, etc.) by which data can be sorted,
but still does not allow for relative degree of difference between them.
Examples include, on one hand, dichotomous data with dichotomous (or dichotomized) values such as:
'sick' vs. 'healthy' when measuring health, 'guilty' vs. 'innocent' when making judgments in courts,
'wrong/false' vs. 'right/true' when measuring truth value, and, on the other hand, non-dichotomous data consisting of a spectrum of values, such as:
'completely agree', 'mostly agree', 'mostly disagree', 'completely disagree' when measuring opinion.
</p></j.1:description>
<rdfs:comment rdf:datatype="http://www.w3.org/1999/02/22-rdf-syntax-ns#HTML">The ordinal type allows for rank order (1st, 2nd, 3rd, etc.) by which data can be sorted, but still does not allow for relative degree of difference between them. Examples include, on one hand, dichotomous data with dichotomous (or dichotomized) values such as 'sick' vs. 'healthy' when measuring health, 'guilty' vs. 'innocent' when making judgments in courts, 'wrong/false' vs. 'right/true' when measuring truth value, and, on the other hand, non-dichotomous data consisting of a spectrum of values, such as 'completely agree', 'mostly agree', 'mostly disagree', 'completely disagree' when measuring opinion.</rdfs:comment>
</rdf:Description>
</rdf:RDF>
TURTLE
@prefix owl: <http://www.w3.org/2002/07/owl#> .
@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
<http://qudt.org/schema/qudt/OrdinalScale>
rdf:type rdfs:Class ;
rdf:type owl:Class ;
rdf:type <http://www.w3.org/ns/shacl#NodeShape> ;
<http://purl.org/dc/terms/description> """
<p>The ordinal type allows for rank order (1st, 2nd, 3rd, etc.) by which data can be sorted,
but still does not allow for relative degree of difference between them.
Examples include, on one hand, dichotomous data with dichotomous (or dichotomized) values such as:
'sick' vs. 'healthy' when measuring health, 'guilty' vs. 'innocent' when making judgments in courts,
'wrong/false' vs. 'right/true' when measuring truth value, and, on the other hand, non-dichotomous data consisting of a spectrum of values, such as:
'completely agree', 'mostly agree', 'mostly disagree', 'completely disagree' when measuring opinion.
</p>"""^^rdf:HTML ;
<http://qudt.org/schema/qudt/informativeReference> "https://en.wikipedia.org/wiki/Level_of_measurement"^^xsd:anyURI ;
rdfs:comment "The ordinal type allows for rank order (1st, 2nd, 3rd, etc.) by which data can be sorted, but still does not allow for relative degree of difference between them. Examples include, on one hand, dichotomous data with dichotomous (or dichotomized) values such as 'sick' vs. 'healthy' when measuring health, 'guilty' vs. 'innocent' when making judgments in courts, 'wrong/false' vs. 'right/true' when measuring truth value, and, on the other hand, non-dichotomous data consisting of a spectrum of values, such as 'completely agree', 'mostly agree', 'mostly disagree', 'completely disagree' when measuring opinion."^^rdf:HTML ;
rdfs:isDefinedBy <http://qudt.org/3.0.0/schema/qudt> ;
rdfs:isDefinedBy <http://qudt.org/3.0.0/schema/shacl/qudt> ;
rdfs:label "Ordinal scale" ;
rdfs:seeAlso <http://qudt.org/schema/qudt/IntervalScale> ;
rdfs:seeAlso <http://qudt.org/schema/qudt/NominalScale> ;
rdfs:seeAlso <http://qudt.org/schema/qudt/RatioScale> ;
rdfs:subClassOf <http://qudt.org/schema/qudt/Scale> ;
rdfs:subClassOf [] ;
<http://www.w3.org/ns/shacl#property> <http://qudt.org/schema/qudt/OrdinalScale-order> ;
.
JSON
{"resource":"Ordinal scale"
,"qname":"qudt:OrdinalScale"
,"uri":"http:\/\/qudt.org\/schema\/qudt\/OrdinalScale"
,"properties":["comment":"The ordinal type allows for rank order (1st, 2nd, 3rd, etc.) by which data can be sorted, but still does not allow for relative degree of difference between them. Examples include, on one hand, dichotomous data with dichotomous (or dichotomized) values such as 'sick' vs. 'healthy' when measuring health, 'guilty' vs. 'innocent' when making judgments in courts, 'wrong\/false' vs. 'right\/true' when measuring truth value, and, on the other hand, non-dichotomous data consisting of a spectrum of values, such as 'completely agree', 'mostly agree', 'mostly disagree', 'completely disagree' when measuring opinion."
,"description":"\n <p>The ordinal type allows for rank order (1st, 2nd, 3rd, etc.) by which data can be sorted,\n but still does not allow for relative degree of difference between them. \n Examples include, on one hand, dichotomous data with dichotomous (or dichotomized) values such as:\n 'sick' vs. 'healthy' when measuring health, 'guilty' vs. 'innocent' when making judgments in courts,\n 'wrong\/false' vs. 'right\/true' when measuring truth value, and, on the other hand, non-dichotomous data consisting of a spectrum of values, such as:\n 'completely agree', 'mostly agree', 'mostly disagree', 'completely disagree' when measuring opinion.\n <\/p>"
,"informative reference":"https:\/\/en.wikipedia.org\/wiki\/Level_of_measurement"
,"isDefinedBy":"<http:\/\/qudt.org\/3.0.0\/schema\/qudt>"
,"isDefinedBy":"<http:\/\/qudt.org\/3.0.0\/schema\/shacl\/qudt>"
,"label":"Ordinal scale"
,"property":"qudt:OrdinalScale-order"
,"seeAlso":"qudt:IntervalScale"
,"seeAlso":"qudt:NominalScale"
,"seeAlso":"qudt:RatioScale"
,"subClassOf":null
,"subClassOf":"qudt:Scale"
,"type":"rdfs:Class"
,"type":"owl:Class"
,"type":"sh:NodeShape"
]}
JSON-LD
{
"@id" : "http://qudt.org/schema/qudt/OrdinalScale",
"@type" : [ "http://www.w3.org/ns/shacl#NodeShape", "rdfs:Class", "owl:Class" ],
"description" : "\n <p>The ordinal type allows for rank order (1st, 2nd, 3rd, etc.) by which data can be sorted,\n but still does not allow for relative degree of difference between them. \n Examples include, on one hand, dichotomous data with dichotomous (or dichotomized) values such as:\n 'sick' vs. 'healthy' when measuring health, 'guilty' vs. 'innocent' when making judgments in courts,\n 'wrong/false' vs. 'right/true' when measuring truth value, and, on the other hand, non-dichotomous data consisting of a spectrum of values, such as:\n 'completely agree', 'mostly agree', 'mostly disagree', 'completely disagree' when measuring opinion.\n </p>",
"informativeReference" : "https://en.wikipedia.org/wiki/Level_of_measurement",
"comment" : "The ordinal type allows for rank order (1st, 2nd, 3rd, etc.) by which data can be sorted, but still does not allow for relative degree of difference between them. Examples include, on one hand, dichotomous data with dichotomous (or dichotomized) values such as 'sick' vs. 'healthy' when measuring health, 'guilty' vs. 'innocent' when making judgments in courts, 'wrong/false' vs. 'right/true' when measuring truth value, and, on the other hand, non-dichotomous data consisting of a spectrum of values, such as 'completely agree', 'mostly agree', 'mostly disagree', 'completely disagree' when measuring opinion.",
"isDefinedBy" : [ "http://qudt.org/3.0.0/schema/shacl/qudt", "http://qudt.org/3.0.0/schema/qudt" ],
"label" : "Ordinal scale",
"seeAlso" : [ "http://qudt.org/schema/qudt/NominalScale", "http://qudt.org/schema/qudt/IntervalScale", "http://qudt.org/schema/qudt/RatioScale" ],
"subClassOf" : [ "http://qudt.org/schema/qudt/Scale", "_:b0" ],
"property" : "http://qudt.org/schema/qudt/OrdinalScale-order",
"@context" : {
"property" : {
"@id" : "http://www.w3.org/ns/shacl#property",
"@type" : "@id"
},
"isDefinedBy" : {
"@id" : "http://www.w3.org/2000/01/rdf-schema#isDefinedBy",
"@type" : "@id"
},
"subClassOf" : {
"@id" : "http://www.w3.org/2000/01/rdf-schema#subClassOf",
"@type" : "@id"
},
"seeAlso" : {
"@id" : "http://www.w3.org/2000/01/rdf-schema#seeAlso",
"@type" : "@id"
},
"informativeReference" : {
"@id" : "http://qudt.org/schema/qudt/informativeReference",
"@type" : "http://www.w3.org/2001/XMLSchema#anyURI"
},
"label" : {
"@id" : "http://www.w3.org/2000/01/rdf-schema#label"
},
"description" : {
"@id" : "http://purl.org/dc/terms/description",
"@type" : "http://www.w3.org/1999/02/22-rdf-syntax-ns#HTML"
},
"comment" : {
"@id" : "http://www.w3.org/2000/01/rdf-schema#comment",
"@type" : "http://www.w3.org/1999/02/22-rdf-syntax-ns#HTML"
},
"rdf" : "http://www.w3.org/1999/02/22-rdf-syntax-ns#",
"owl" : "http://www.w3.org/2002/07/owl#",
"xsd" : "http://www.w3.org/2001/XMLSchema#",
"rdfs" : "http://www.w3.org/2000/01/rdf-schema#"
}
}