quantitykind:InformationEntropy

URI: http://qudt.org/vocab/quantitykind/InformationEntropy

Type
Description

Information Entropy is a concept from information theory. It tells how much information there is in an event. In general, the more uncertain or random the event is, the more information it will contain. The concept of information entropy was created by a mathematician. He was named Claude Elwood Shannon. It has applications in many areas, including lossless data compression, statistical inference, cryptography and recently in other disciplines as biology, physics or machine learning.

Properties
qudt:plainTextDescription
Information Entropy is a concept from information theory. It tells how much information there is in an event. In general, the more uncertain or random the event is, the more information it will contain. The concept of information entropy was created by a mathematician. He was named Claude Elwood Shannon. It has applications in many areas, including lossless data compression, statistical inference, cryptography and recently in other disciplines as biology, physics or machine learning.
Annotations
dcterms:description
Information Entropy is a concept from information theory. It tells how much information there is in an event. In general, the more uncertain or random the event is, the more information it will contain. The concept of information entropy was created by a mathematician. He was named Claude Elwood Shannon. It has applications in many areas, including lossless data compression, statistical inference, cryptography and recently in other disciplines as biology, physics or machine learning.
rdfs:label
Information Entropy(en)
View as:  CSV

Work in progress

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/2004/02/skos/core#"
    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/vocab/quantitykind/InformationEntropy">
    <j.0:applicableUnit rdf:resource="http://qudt.org/vocab/unit/ExaBYTE"/>
    <rdf:type rdf:resource="http://qudt.org/schema/qudt/QuantityKind"/>
    <j.0:applicableUnit rdf:resource="http://qudt.org/vocab/unit/BIT"/>
    <j.0:applicableUnit rdf:resource="http://qudt.org/vocab/unit/KiloBYTE"/>
    <j.0:applicableUnit rdf:resource="http://qudt.org/vocab/unit/PetaBYTE"/>
    <j.0:hasDimensionVector rdf:resource="http://qudt.org/vocab/dimensionvector/A0E0L0I0M0H0T0D1"/>
    <j.0:applicableUnit rdf:resource="http://qudt.org/vocab/unit/TeraBYTE"/>
    <j.0:applicableUnit rdf:resource="http://qudt.org/vocab/unit/SHANNON"/>
    <j.0:plainTextDescription>Information Entropy is a concept from information theory. It tells how much information there is in an event. In general, the more uncertain or random the event is, the more information it will contain. The concept of information entropy was created by a mathematician. He was named Claude Elwood Shannon. It has applications in many areas, including lossless data compression, statistical inference, cryptography and recently in other disciplines as biology, physics or machine learning.</j.0:plainTextDescription>
    <j.0:applicableUnit rdf:resource="http://qudt.org/vocab/unit/ERLANG"/>
    <j.1:description rdf:datatype="http://www.w3.org/1999/02/22-rdf-syntax-ns#HTML">Information Entropy is a concept from information theory. It tells how much information there is in an event. In general, the more uncertain or random the event is, the more information it will contain. The concept of information entropy was created by a mathematician. He was named Claude Elwood Shannon. It has applications in many areas, including lossless data compression, statistical inference, cryptography and recently in other disciplines as biology, physics or machine learning.</j.1:description>
    <j.0:applicableUnit rdf:resource="http://qudt.org/vocab/unit/GigaBYTE"/>
    <j.0:applicableUnit rdf:resource="http://qudt.org/vocab/unit/GibiBYTE"/>
    <rdfs:label xml:lang="en">Information Entropy</rdfs:label>
    <j.0:applicableUnit rdf:resource="http://qudt.org/vocab/unit/MebiBYTE"/>
    <j.0:applicableUnit rdf:resource="http://qudt.org/vocab/unit/PebiBYTE"/>
    <j.0:applicableUnit rdf:resource="http://qudt.org/vocab/unit/KibiBYTE"/>
    <j.0:informativeReference rdf:datatype="http://www.w3.org/2001/XMLSchema#anyURI">http://simple.wikipedia.org/wiki/Information_entropy</j.0:informativeReference>
    <j.0:applicableUnit rdf:resource="http://qudt.org/vocab/unit/HART"/>
    <j.0:applicableUnit rdf:resource="http://qudt.org/vocab/unit/NAT"/>
    <j.2:broader rdf:resource="http://qudt.org/vocab/quantitykind/Dimensionless"/>
    <rdfs:isDefinedBy rdf:resource="http://qudt.org/2.1/vocab/quantitykind"/>
    <j.0:applicableUnit rdf:resource="http://qudt.org/vocab/unit/BYTE"/>
    <j.0:applicableUnit rdf:resource="http://qudt.org/vocab/unit/TebiBYTE"/>
    <j.0:applicableUnit rdf:resource="http://qudt.org/vocab/unit/MegaBYTE"/>
    <j.0:applicableUnit rdf:resource="http://qudt.org/vocab/unit/ExbiBYTE"/>
    <j.0:applicableUnit rdf:resource="http://qudt.org/vocab/unit/BAN"/>
  </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/vocab/quantitykind/InformationEntropy>
  rdf:type <http://qudt.org/schema/qudt/QuantityKind> ;
  <http://purl.org/dc/terms/description> "Information Entropy is a concept from information theory. It tells how much information there is in an event. In general, the more uncertain or random the event is, the more information it will contain. The concept of information entropy was created by a mathematician. He was named Claude Elwood Shannon. It has applications in many areas, including lossless data compression, statistical inference, cryptography and recently in other disciplines as biology, physics or machine learning."^^rdf:HTML ;
  <http://qudt.org/schema/qudt/applicableUnit> <http://qudt.org/vocab/unit/BAN> ;
  <http://qudt.org/schema/qudt/applicableUnit> <http://qudt.org/vocab/unit/BIT> ;
  <http://qudt.org/schema/qudt/applicableUnit> <http://qudt.org/vocab/unit/BYTE> ;
  <http://qudt.org/schema/qudt/applicableUnit> <http://qudt.org/vocab/unit/ERLANG> ;
  <http://qudt.org/schema/qudt/applicableUnit> <http://qudt.org/vocab/unit/ExaBYTE> ;
  <http://qudt.org/schema/qudt/applicableUnit> <http://qudt.org/vocab/unit/ExbiBYTE> ;
  <http://qudt.org/schema/qudt/applicableUnit> <http://qudt.org/vocab/unit/GibiBYTE> ;
  <http://qudt.org/schema/qudt/applicableUnit> <http://qudt.org/vocab/unit/GigaBYTE> ;
  <http://qudt.org/schema/qudt/applicableUnit> <http://qudt.org/vocab/unit/HART> ;
  <http://qudt.org/schema/qudt/applicableUnit> <http://qudt.org/vocab/unit/KibiBYTE> ;
  <http://qudt.org/schema/qudt/applicableUnit> <http://qudt.org/vocab/unit/KiloBYTE> ;
  <http://qudt.org/schema/qudt/applicableUnit> <http://qudt.org/vocab/unit/MebiBYTE> ;
  <http://qudt.org/schema/qudt/applicableUnit> <http://qudt.org/vocab/unit/MegaBYTE> ;
  <http://qudt.org/schema/qudt/applicableUnit> <http://qudt.org/vocab/unit/NAT> ;
  <http://qudt.org/schema/qudt/applicableUnit> <http://qudt.org/vocab/unit/PebiBYTE> ;
  <http://qudt.org/schema/qudt/applicableUnit> <http://qudt.org/vocab/unit/PetaBYTE> ;
  <http://qudt.org/schema/qudt/applicableUnit> <http://qudt.org/vocab/unit/SHANNON> ;
  <http://qudt.org/schema/qudt/applicableUnit> <http://qudt.org/vocab/unit/TebiBYTE> ;
  <http://qudt.org/schema/qudt/applicableUnit> <http://qudt.org/vocab/unit/TeraBYTE> ;
  <http://qudt.org/schema/qudt/hasDimensionVector> <http://qudt.org/vocab/dimensionvector/A0E0L0I0M0H0T0D1> ;
  <http://qudt.org/schema/qudt/informativeReference> "http://simple.wikipedia.org/wiki/Information_entropy"^^xsd:anyURI ;
  <http://qudt.org/schema/qudt/plainTextDescription> "Information Entropy is a concept from information theory. It tells how much information there is in an event. In general, the more uncertain or random the event is, the more information it will contain. The concept of information entropy was created by a mathematician. He was named Claude Elwood Shannon. It has applications in many areas, including lossless data compression, statistical inference, cryptography and recently in other disciplines as biology, physics or machine learning." ;
  rdfs:isDefinedBy <http://qudt.org/2.1/vocab/quantitykind> ;
  rdfs:label "Information Entropy"@en ;
  <http://www.w3.org/2004/02/skos/core#broader> <http://qudt.org/vocab/quantitykind/Dimensionless> ;
.
JSON
{"resource":"Information Entropy" 
 ,"qname":"quantitykind:InformationEntropy" 
 ,"uri":"http:\/\/qudt.org\/vocab\/quantitykind\/InformationEntropy" 
 ,"properties":["applicable unit":"unit:BAN" 
    ,"applicable unit":"unit:BIT" 
    ,"applicable unit":"unit:BYTE" 
    ,"applicable unit":"unit:ERLANG" 
    ,"applicable unit":"unit:ExaBYTE" 
    ,"applicable unit":"unit:ExbiBYTE" 
    ,"applicable unit":"unit:GibiBYTE" 
    ,"applicable unit":"unit:GigaBYTE" 
    ,"applicable unit":"unit:HART" 
    ,"applicable unit":"unit:KibiBYTE" 
    ,"applicable unit":"unit:KiloBYTE" 
    ,"applicable unit":"unit:MebiBYTE" 
    ,"applicable unit":"unit:MegaBYTE" 
    ,"applicable unit":"unit:NAT" 
    ,"applicable unit":"unit:PebiBYTE" 
    ,"applicable unit":"unit:PetaBYTE" 
    ,"applicable unit":"unit:SHANNON" 
    ,"applicable unit":"unit:TebiBYTE" 
    ,"applicable unit":"unit:TeraBYTE" 
    ,"description":"Information Entropy is a concept from information theory. It tells how much information there is in an event. In general, the more uncertain or random the event is, the more information it will contain. The concept of information entropy was created by a mathematician. He was named Claude Elwood Shannon. It has applications in many areas, including lossless data compression, statistical inference, cryptography and recently in other disciplines as biology, physics or machine learning." 
    ,"description (plain text)":"Information Entropy is a concept from information theory. It tells how much information there is in an event. In general, the more uncertain or random the event is, the more information it will contain. The concept of information entropy was created by a mathematician. He was named Claude Elwood Shannon. It has applications in many areas, including lossless data compression, statistical inference, cryptography and recently in other disciplines as biology, physics or machine learning." 
    ,"has broader":"quantitykind:Dimensionless" 
    ,"has dimension vector":"dimension:A0E0L0I0M0H0T0D1" 
    ,"informative reference":"http:\/\/simple.wikipedia.org\/wiki\/Information_entropy" 
    ,"isDefinedBy":"&lt;http:\/\/qudt.org\/2.1\/vocab\/quantitykind&gt;" 
    ,"label":"Information Entropy" 
    ,"type":"qudt:QuantityKind" 
    ]}
JSON-LD
{
  "@id" : "http://qudt.org/vocab/quantitykind/InformationEntropy",
  "@type" : "http://qudt.org/schema/qudt/QuantityKind",
  "description" : "Information Entropy is a concept from information theory. It tells how much information there is in an event. In general, the more uncertain or random the event is, the more information it will contain. The concept of information entropy was created by a mathematician. He was named Claude Elwood Shannon. It has applications in many areas, including lossless data compression, statistical inference, cryptography and recently in other disciplines as biology, physics or machine learning.",
  "applicableUnit" : [ "http://qudt.org/vocab/unit/ExaBYTE", "http://qudt.org/vocab/unit/BIT", "http://qudt.org/vocab/unit/KiloBYTE", "http://qudt.org/vocab/unit/PetaBYTE", "http://qudt.org/vocab/unit/TeraBYTE", "http://qudt.org/vocab/unit/SHANNON", "http://qudt.org/vocab/unit/ERLANG", "http://qudt.org/vocab/unit/GigaBYTE", "http://qudt.org/vocab/unit/GibiBYTE", "http://qudt.org/vocab/unit/MebiBYTE", "http://qudt.org/vocab/unit/PebiBYTE", "http://qudt.org/vocab/unit/KibiBYTE", "http://qudt.org/vocab/unit/HART", "http://qudt.org/vocab/unit/NAT", "http://qudt.org/vocab/unit/BYTE", "http://qudt.org/vocab/unit/TebiBYTE", "http://qudt.org/vocab/unit/MegaBYTE", "http://qudt.org/vocab/unit/ExbiBYTE", "http://qudt.org/vocab/unit/BAN" ],
  "hasDimensionVector" : "http://qudt.org/vocab/dimensionvector/A0E0L0I0M0H0T0D1",
  "informativeReference" : "http://simple.wikipedia.org/wiki/Information_entropy",
  "plainTextDescription" : "Information Entropy is a concept from information theory. It tells how much information there is in an event. In general, the more uncertain or random the event is, the more information it will contain. The concept of information entropy was created by a mathematician. He was named Claude Elwood Shannon. It has applications in many areas, including lossless data compression, statistical inference, cryptography and recently in other disciplines as biology, physics or machine learning.",
  "isDefinedBy" : "http://qudt.org/2.1/vocab/quantitykind",
  "label" : {
    "@language" : "en",
    "@value" : "Information Entropy"
  },
  "broader" : "http://qudt.org/vocab/quantitykind/Dimensionless",
  "@context" : {
    "applicableUnit" : {
      "@id" : "http://qudt.org/schema/qudt/applicableUnit",
      "@type" : "@id"
    },
    "hasDimensionVector" : {
      "@id" : "http://qudt.org/schema/qudt/hasDimensionVector",
      "@type" : "@id"
    },
    "plainTextDescription" : {
      "@id" : "http://qudt.org/schema/qudt/plainTextDescription"
    },
    "description" : {
      "@id" : "http://purl.org/dc/terms/description",
      "@type" : "http://www.w3.org/1999/02/22-rdf-syntax-ns#HTML"
    },
    "label" : {
      "@id" : "http://www.w3.org/2000/01/rdf-schema#label"
    },
    "informativeReference" : {
      "@id" : "http://qudt.org/schema/qudt/informativeReference",
      "@type" : "http://www.w3.org/2001/XMLSchema#anyURI"
    },
    "broader" : {
      "@id" : "http://www.w3.org/2004/02/skos/core#broader",
      "@type" : "@id"
    },
    "isDefinedBy" : {
      "@id" : "http://www.w3.org/2000/01/rdf-schema#isDefinedBy",
      "@type" : "@id"
    },
    "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#"
  }
}

Generated 2024-04-25T16:11:11.242-04:00 by lmdoc version 1.1 with  TopBraid SPARQL Web Pages (SWP)