This HTML5 document contains 26 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

Prefix	IRI
n2	http://qudt.org/vocab/quantitykind/
n4	http://qudt.org/vocab/unit/
n3	http://qudt.org/schema/qudt/
skos	http://www.w3.org/2004/02/skos/core#
n8	http://qudt.org/vocab/dimensionvector/
rdfs	http://www.w3.org/2000/01/rdf-schema#
n6	http://qudt.org/2.1/vocab/
rdf	http://www.w3.org/1999/02/22-rdf-syntax-ns#
xsdh	http://www.w3.org/2001/XMLSchema#

Statements

Subject Item

n2:InformationEntropy

rdf:type

n3:QuantityKind

rdfs:label

Information Entropy

rdfs:isDefinedBy

n6:quantitykind

skos:broader

n2:Dimensionless

n3:applicableUnit

n4:GigaBYTE n4:ExbiBYTE n4:ExaBYTE n4:MebiBYTE n4:TeraBYTE n4:BIT n4:MegaBYTE n4:KibiBYTE n4:HART n4:TebiBYTE n4:ERLANG n4:KiloBYTE n4:SHANNON n4:BAN n4:GibiBYTE n4:NAT n4:PetaBYTE n4:PebiBYTE n4:BYTE

n3:hasDimensionVector

n8:A0E0L0I0M0H0T0D1

n3:informativeReference

http://simple.wikipedia.org/wiki/Information_entropy

n3: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.