This HTML5 document contains 44 embedded RDF statements represented using HTML+Microdata notation.

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

Namespace Prefixes

PrefixIRI
n16http://linked.opendata.cz/ontology/domain/vavai/riv/typAkce/
dctermshttp://purl.org/dc/terms/
n22http://purl.org/net/nknouf/ns/bibtex#
n8http://localhost/temp/predkladatel/
n18http://linked.opendata.cz/resource/domain/vavai/riv/tvurce/
n4http://linked.opendata.cz/resource/domain/vavai/projekt/
n15http://linked.opendata.cz/resource/domain/vavai/subjekt/
n14http://linked.opendata.cz/ontology/domain/vavai/
n10https://schema.org/
n21http://linked.opendata.cz/resource/domain/vavai/vysledek/RIV%2F00216224%3A14330%2F11%3A00050165%21RIV12-GA0-14330___/
shttp://schema.org/
skoshttp://www.w3.org/2004/02/skos/core#
n3http://linked.opendata.cz/ontology/domain/vavai/riv/
n2http://linked.opendata.cz/resource/domain/vavai/vysledek/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
n11http://linked.opendata.cz/ontology/domain/vavai/riv/klicoveSlovo/
n20http://linked.opendata.cz/ontology/domain/vavai/riv/duvernostUdaju/
xsdhhttp://www.w3.org/2001/XMLSchema#
n13http://linked.opendata.cz/ontology/domain/vavai/riv/jazykVysledku/
n7http://linked.opendata.cz/ontology/domain/vavai/riv/aktivita/
n17http://linked.opendata.cz/ontology/domain/vavai/riv/druhVysledku/
n9http://linked.opendata.cz/ontology/domain/vavai/riv/obor/
n19http://reference.data.gov.uk/id/gregorian-year/

Statements

Subject Item
n2:RIV%2F00216224%3A14330%2F11%3A00050165%21RIV12-GA0-14330___
rdf:type
skos:Concept n14:Vysledek
dcterms:description
chared is a system which can detect character encoding of a text document provided the language of the document is known. The system supports a wide range of languages and the most commonly used character encodings. We explain the details of the algorithm, describe the process of creating models for various languages and present results of an evaluation on a collection of Web pages. chared is a system which can detect character encoding of a text document provided the language of the document is known. The system supports a wide range of languages and the most commonly used character encodings. We explain the details of the algorithm, describe the process of creating models for various languages and present results of an evaluation on a collection of Web pages.
dcterms:title
chared: Character Encoding Detection with a Known Language chared: Character Encoding Detection with a Known Language
skos:prefLabel
chared: Character Encoding Detection with a Known Language chared: Character Encoding Detection with a Known Language
skos:notation
RIV/00216224:14330/11:00050165!RIV12-GA0-14330___
n14:predkladatel
n15:orjk%3A14330
n3:aktivita
n7:S n7:P
n3:aktivity
P(GAP401/10/0792), S
n3:dodaniDat
n19:2012
n3:domaciTvurceVysledku
n18:8884439 n18:4980190
n3:druhVysledku
n17:D
n3:duvernostUdaju
n20:S
n3:entitaPredkladatele
n21:predkladatel
n3:idSjednocenehoVysledku
190066
n3:idVysledku
RIV/00216224:14330/11:00050165
n3:jazykVysledku
n13:eng
n3:klicovaSlova
character encoding; character encoding detection; charset; Unicode
n3:klicoveSlovo
n11:character%20encoding n11:character%20encoding%20detection n11:Unicode n11:charset
n3:kontrolniKodProRIV
[38DAA360CA75]
n3:mistoKonaniAkce
Karlova Studánka, Czech Republic
n3:mistoVydani
Brno, Czech Republic
n3:nazevZdroje
RASLAN 2011
n3:obor
n9:IN
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:projekt
n4:GAP401%2F10%2F0792
n3:rokUplatneniVysledku
n19:2011
n3:tvurceVysledku
Suchomel, Vít Pomikálek, Jan
n3:typAkce
n16:CST
n3:zahajeniAkce
2011-01-01+01:00
s:numberOfPages
5
n22:hasPublisher
Tribun EU
n10:isbn
978-80-263-0077-9
n8:organizacniJednotka
14330