About: Measuring Web Page Similarity Based on Textual and Visual Properties

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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	Measuring web page similarity is a very important task in the area of web mining and information retrieval. This paper introduces the method for measuring web page similarity, which considers both textual and visual properties of pages. Textual properties of a page are described by means of modified weight vector space model. General visual properties are captured via segmentation of a page, which divides a page into visual blocks, properties of which are stored into a vector of visual properties. These both vectors are then used to compute the whole web page similarity. This method will be described in detail and results of several experiments are also introduced in this paper. Measuring web page similarity is a very important task in the area of web mining and information retrieval. This paper introduces the method for measuring web page similarity, which considers both textual and visual properties of pages. Textual properties of a page are described by means of modified weight vector space model. General visual properties are captured via segmentation of a page, which divides a page into visual blocks, properties of which are stored into a vector of visual properties. These both vectors are then used to compute the whole web page similarity. This method will be described in detail and results of several experiments are also introduced in this paper. (en)
Title	Measuring Web Page Similarity Based on Textual and Visual Properties Measuring Web Page Similarity Based on Textual and Visual Properties (en)
skos:prefLabel	Measuring Web Page Similarity Based on Textual and Visual Properties Measuring Web Page Similarity Based on Textual and Visual Properties (en)
skos:notation	RIV/00216305:26230/12:PU96212!RIV13-MSM-26230___
http://linked.open...avai/predkladatel	Fakulta informačních technologií
http://linked.open...avai/riv/aktivita	Z
http://linked.open...avai/riv/aktivity	Z(MSM0021630528)
http://linked.open...vai/riv/dodaniDat	2013
http://linked.open...aciTvurceVysledku	Bartík, Vladimír
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	Vysoké učení technické v Brně / Fakulta informačních technologií
http://linked.open...dnocenehoVysledku	149079
http://linked.open...ai/riv/idVysledku	RIV/00216305:26230/12:PU96212
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Web page similarity, clustering, vector space model, vector distance, term weighting, visual blocks. (en)
http://linked.open.../riv/klicoveSlovo	clustering Web page similarity term weighting vector distance vector space model visual blocks.
http://linked.open...ontrolniKodProRIV	[B6A19D4F48E6]
http://linked.open...v/mistoKonaniAkce	Zakopane
http://linked.open...i/riv/mistoVydani	Zakopane
http://linked.open...i/riv/nazevZdroje	The 11th International Conference on Artificial Intelligence and Soft Computing
http://linked.open...in/vavai/riv/obor	JC
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	1 (xsd:int)
http://linked.open...UplatneniVysledku	2012
http://linked.open...iv/tvurceVysledku	Bartík, Vladimír
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open...ain/vavai/riv/wos	000314151300002
http://linked.open.../riv/zahajeniAkce	2012-04-29 (xsd:date)
http://linked.open...n/vavai/riv/zamer	Výzkum informačních technologií z hlediska bezpečnosti
number of pages	9 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Springer-Verlag
https://schema.org/isbn	978-3-642-29349-8
http://localhost/t...ganizacniJednotka	26230
is http://linked.open...avai/riv/vysledek of	Measuring Web Page Similarity Based on Textual and Visual Properties

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