Work in progress

<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/NominalScale">
    <rdfs:comment rdf:datatype="http://www.w3.org/1999/02/22-rdf-syntax-ns#HTML">A nominal scale differentiates between items or subjects based only on their names or (meta-)categories and other qualitative classifications they belong to; thus dichotomous data involves the construction of classifications as well as the classification of items. Discovery of an exception to a classification can be viewed as progress. Numbers may be used to represent the variables but the numbers do not have numerical value or relationship: For example, a Globally unique identifier. Examples of these classifications include gender, nationality, ethnicity, language, genre, style, biological species, and form. In a university one could also use hall of affiliation as an example.</rdfs:comment>
    <rdfs:seeAlso rdf:resource="http://qudt.org/schema/qudt/OrdinalScale"/>
    <rdfs:seeAlso rdf:resource="http://qudt.org/schema/qudt/RatioScale"/>
    <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:isDefinedBy rdf:resource="http://qudt.org/3.0.0/schema/qudt"/>
    <rdfs:subClassOf rdf:resource="http://qudt.org/schema/qudt/Scale"/>
    <rdfs:label>Nominal scale</rdfs:label>
    <j.1:description rdf:datatype="http://www.w3.org/1999/02/22-rdf-syntax-ns#HTML">
  A nominal scale differentiates between items or subjects based only on their names or (meta-)categories and other qualitative classifications they belong to;
   thus dichotomous data involves the construction of classifications as well as the classification of items. 
  Discovery of an exception to a classification can be viewed as progress. 
  Numbers may be used to represent the variables but the numbers do not have numerical value or relationship:
   for example, a Globally unique identifier. 
  Examples of these classifications include gender, nationality, ethnicity, language, genre, style, biological species, and form. 
  In a university one could also use hall of affiliation as an example.
  </j.1:description>
    <rdf:type rdf:resource="http://www.w3.org/ns/shacl#NodeShape"/>
    <j.0:informativeReference rdf:datatype="http://www.w3.org/2001/XMLSchema#anyURI">https://en.wikipedia.org/wiki/Level_of_measurement</j.0:informativeReference>
    <rdf:type rdf:resource="http://www.w3.org/2002/07/owl#Class"/>
    <rdfs:seeAlso rdf:resource="http://qudt.org/schema/qudt/IntervalScale"/>
  </rdf:Description>
</rdf:RDF>

@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/NominalScale>
  rdf:type rdfs:Class ;
  rdf:type owl:Class ;
  rdf:type <http://www.w3.org/ns/shacl#NodeShape> ;
  <http://purl.org/dc/terms/description> """
  A nominal scale differentiates between items or subjects based only on their names or (meta-)categories and other qualitative classifications they belong to;
   thus dichotomous data involves the construction of classifications as well as the classification of items. 
  Discovery of an exception to a classification can be viewed as progress. 
  Numbers may be used to represent the variables but the numbers do not have numerical value or relationship:
   for example, a Globally unique identifier. 
  Examples of these classifications include gender, nationality, ethnicity, language, genre, style, biological species, and form. 
  In a university one could also use hall of affiliation as an example.
  """^^rdf:HTML ;
  <http://qudt.org/schema/qudt/informativeReference> "https://en.wikipedia.org/wiki/Level_of_measurement"^^xsd:anyURI ;
  rdfs:comment "A nominal scale differentiates between items or subjects based only on their names or (meta-)categories and other qualitative classifications they belong to; thus dichotomous data involves the construction of classifications as well as the classification of items. Discovery of an exception to a classification can be viewed as progress. Numbers may be used to represent the variables but the numbers do not have numerical value or relationship: For example, a Globally unique identifier. Examples of these classifications include gender, nationality, ethnicity, language, genre, style, biological species, and form. In a university one could also use hall of affiliation as an example."^^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 "Nominal scale" ;
  rdfs:seeAlso <http://qudt.org/schema/qudt/IntervalScale> ;
  rdfs:seeAlso <http://qudt.org/schema/qudt/OrdinalScale> ;
  rdfs:seeAlso <http://qudt.org/schema/qudt/RatioScale> ;
  rdfs:subClassOf <http://qudt.org/schema/qudt/Scale> ;
.

{"resource":"Nominal scale" 
 ,"qname":"qudt:NominalScale" 
 ,"uri":"http:\/\/qudt.org\/schema\/qudt\/NominalScale" 
 ,"properties":["comment":"A nominal scale differentiates between items or subjects based only on their names or (meta-)categories and other qualitative classifications they belong to; thus dichotomous data involves the construction of classifications as well as the classification of items. Discovery of an exception to a classification can be viewed as progress. Numbers may be used to represent the variables but the numbers do not have numerical value or relationship: For example, a Globally unique identifier. Examples of these classifications include gender, nationality, ethnicity, language, genre, style, biological species, and form. In a university one could also use hall of affiliation as an example." 
    ,"description":"\n  A nominal scale differentiates between items or subjects based only on their names or (meta-)categories and other qualitative classifications they belong to;\n   thus dichotomous data involves the construction of classifications as well as the classification of items. \n  Discovery of an exception to a classification can be viewed as progress. \n  Numbers may be used to represent the variables but the numbers do not have numerical value or relationship:\n   for example, a Globally unique identifier. \n  Examples of these classifications include gender, nationality, ethnicity, language, genre, style, biological species, and form. \n  In a university one could also use hall of affiliation as an example.\n  " 
    ,"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":"Nominal scale" 
    ,"seeAlso":"qudt:IntervalScale" 
    ,"seeAlso":"qudt:OrdinalScale" 
    ,"seeAlso":"qudt:RatioScale" 
    ,"subClassOf":"qudt:Scale" 
    ,"type":"rdfs:Class" 
    ,"type":"owl:Class" 
    ,"type":"sh:NodeShape" 
    ]}

{
  "@id" : "http://qudt.org/schema/qudt/NominalScale",
  "@type" : [ "rdfs:Class", "http://www.w3.org/ns/shacl#NodeShape", "owl:Class" ],
  "description" : "\n  A nominal scale differentiates between items or subjects based only on their names or (meta-)categories and other qualitative classifications they belong to;\n   thus dichotomous data involves the construction of classifications as well as the classification of items. \n  Discovery of an exception to a classification can be viewed as progress. \n  Numbers may be used to represent the variables but the numbers do not have numerical value or relationship:\n   for example, a Globally unique identifier. \n  Examples of these classifications include gender, nationality, ethnicity, language, genre, style, biological species, and form. \n  In a university one could also use hall of affiliation as an example.\n  ",
  "informativeReference" : "https://en.wikipedia.org/wiki/Level_of_measurement",
  "comment" : "A nominal scale differentiates between items or subjects based only on their names or (meta-)categories and other qualitative classifications they belong to; thus dichotomous data involves the construction of classifications as well as the classification of items. Discovery of an exception to a classification can be viewed as progress. Numbers may be used to represent the variables but the numbers do not have numerical value or relationship: For example, a Globally unique identifier. Examples of these classifications include gender, nationality, ethnicity, language, genre, style, biological species, and form. In a university one could also use hall of affiliation as an example.",
  "isDefinedBy" : [ "http://qudt.org/3.0.0/schema/shacl/qudt", "http://qudt.org/3.0.0/schema/qudt" ],
  "label" : "Nominal scale",
  "seeAlso" : [ "http://qudt.org/schema/qudt/OrdinalScale", "http://qudt.org/schema/qudt/RatioScale", "http://qudt.org/schema/qudt/IntervalScale" ],
  "subClassOf" : "http://qudt.org/schema/qudt/Scale",
  "@context" : {
    "comment" : {
      "@id" : "http://www.w3.org/2000/01/rdf-schema#comment",
      "@type" : "http://www.w3.org/1999/02/22-rdf-syntax-ns#HTML"
    },
    "seeAlso" : {
      "@id" : "http://www.w3.org/2000/01/rdf-schema#seeAlso",
      "@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"
    },
    "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"
    },
    "informativeReference" : {
      "@id" : "http://qudt.org/schema/qudt/informativeReference",
      "@type" : "http://www.w3.org/2001/XMLSchema#anyURI"
    },
    "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#"
  }
}