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Statements

Subject Item
n2:RIV%2F61989100%3A27740%2F12%3A86085113%21RIV13-MSM-27740___
rdf:type
n12:Vysledek skos:Concept
dcterms:description
The internet is a library of a huge amount of information and there is a need for categorize its content based on web page classification. Classification of web page content can improve the quality of web search and its accuracy. Unfortunately the high dimensionality of the web pages dataset has made the process of classification difficult. The use of an automatic method for web page classification can simplify the whole process and assist the search engine in getting more relevant results. Nowadays information on the web is generally structured and formatted in a not formal way. This absence of semantics leads to create formal methods to provide more semantics information into web page. Search engines including Bing, Google, Yahoo! and Yandex formed collection of schemas Schema.org to support web page semantics and improve their search results. This paper explores the use of formal source code structure for classifying a large collection of the web content. Is focused on use of schemas collection Schema.org to classify web pages and categorize them unambiguously. The internet is a library of a huge amount of information and there is a need for categorize its content based on web page classification. Classification of web page content can improve the quality of web search and its accuracy. Unfortunately the high dimensionality of the web pages dataset has made the process of classification difficult. The use of an automatic method for web page classification can simplify the whole process and assist the search engine in getting more relevant results. Nowadays information on the web is generally structured and formatted in a not formal way. This absence of semantics leads to create formal methods to provide more semantics information into web page. Search engines including Bing, Google, Yahoo! and Yandex formed collection of schemas Schema.org to support web page semantics and improve their search results. This paper explores the use of formal source code structure for classifying a large collection of the web content. Is focused on use of schemas collection Schema.org to classify web pages and categorize them unambiguously.
dcterms:title
Web Page Classification based on Schema.org Collection Web Page Classification based on Schema.org Collection
skos:prefLabel
Web Page Classification based on Schema.org Collection Web Page Classification based on Schema.org Collection
skos:notation
RIV/61989100:27740/12:86085113!RIV13-MSM-27740___
n12:predkladatel
n17:orjk%3A27740
n5:aktivita
n19:S n19:P
n5:aktivity
P(ED1.1.00/02.0070), P(EE.2.3.20.0072), S
n5:dodaniDat
n7:2013
n5:domaciTvurceVysledku
n6:7845782 n6:4347269
n5:druhVysledku
n21:D
n5:duvernostUdaju
n13:S
n5:entitaPredkladatele
n16:predkladatel
n5:idSjednocenehoVysledku
180782
n5:idVysledku
RIV/61989100:27740/12:86085113
n5:jazykVysledku
n22:eng
n5:klicovaSlova
Microformats; Microgenres; Genres; Web Page Clasification; Collection of schemas Schema.org
n5:klicoveSlovo
n10:Collection%20of%20schemas%20Schema.org n10:Web%20Page%20Clasification n10:Genres n10:Microformats n10:Microgenres
n5:kontrolniKodProRIV
[E4162DF82B88]
n5:mistoKonaniAkce
Sao Carlos
n5:mistoVydani
New York
n5:nazevZdroje
Proceedings of the 2012 4th International Conference on Computational Aspects of Social Networks, CASoN 2012 : 21 – 23 November 2012, São Carlos, Brazil
n5:obor
n18:IN
n5:pocetDomacichTvurcuVysledku
2
n5:pocetTvurcuVysledku
3
n5:projekt
n15:ED1.1.00%2F02.0070 n15:EE.2.3.20.0072
n5:rokUplatneniVysledku
n7:2012
n5:tvurceVysledku
Kudělka, Miloš Snášel, Václav Krutil, Jonáš
n5:typAkce
n14:WRD
n5:wos
000314803000060
n5:zahajeniAkce
2012-11-21+01:00
s:numberOfPages
5
n20:hasPublisher
IEEE
n3:isbn
978-1-4673-4793-8
n9:organizacniJednotka
27740