About: Web Page Classification based on Schema.org Collection

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
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. (en)
Title	Web Page Classification based on Schema.org Collection Web Page Classification based on Schema.org Collection (en)
skos:prefLabel	Web Page Classification based on Schema.org Collection Web Page Classification based on Schema.org Collection (en)
skos:notation	RIV/61989100:27740/12:86085113!RIV13-MSM-27740___
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(ED1.1.00/02.0070), P(EE.2.3.20.0072), S
http://linked.open...vai/riv/dodaniDat	2013
http://linked.open...aciTvurceVysledku	Snášel, Václav Kudělka, Miloš
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoká škola báňská - Technická univerzita Ostrava / IT4Innovations
http://linked.open...dnocenehoVysledku	180782
http://linked.open...ai/riv/idVysledku	RIV/61989100:27740/12:86085113
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Microformats; Microgenres; Genres; Web Page Clasification; Collection of schemas Schema.org (en)
http://linked.open.../riv/klicoveSlovo	Collection of schemas Schema.org Genres Microformats Microgenres Web Page Clasification
http://linked.open...ontrolniKodProRIV	[E4162DF82B88]
http://linked.open...v/mistoKonaniAkce	Sao Carlos
http://linked.open...i/riv/mistoVydani	New York
http://linked.open...i/riv/nazevZdroje	Proceedings of the 2012 4th International Conference on Computational Aspects of Social Networks, CASoN 2012 : 21 – 23 November 2012, São Carlos, Brazil
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	IT4Innovations Centre of Excellence Development of human resources in research and development of latest soft computing methods and their application in practice
http://linked.open...UplatneniVysledku	2012
http://linked.open...iv/tvurceVysledku	Snášel, Václav Kudělka, Miloš Krutil, Jonáš
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open...ain/vavai/riv/wos	000314803000060
http://linked.open.../riv/zahajeniAkce	2012-11-21 (xsd:date)
number of pages	5 (xsd:int)
http://purl.org/ne...btex#hasPublisher	IEEE
https://schema.org/isbn	978-1-4673-4793-8
http://localhost/t...ganizacniJednotka	27740

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