Cluster-based Page Segmentation - a fast and precise method for web page pre-processing

Kód výsledku v IS VaVaI

RIV/00216305:26230/13:PU108460 - isvavai.cz

Výsledek na webu

http://www.fit.vutbr.cz/research/pubs/all.php?id=10252

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Cluster-based Page Segmentation - a fast and precise method for web page pre-processing

Popis výsledku v původním jazyce

Segmenting a web page may be one of initial steps of information retrieval or content classification performed on that page. While there has been an extensive research in this area, the approaches usually focus either on performance or quality of the results. Vision based segmentation is one of the quality focused methods, which are considerably slow. This paper proposes an approach for boosting the performance of vision based algorithms. Our approach is based on concepts of modern web and a very common scenario in which an entire web site is processed at once. In this scenario, a great amount of performance boost can be gained by isomorphic mapping of previous results gathered from pages within the site to other pages on the same site. We provide the results of experiments performed on VIPS, the most common algorithm for page segmentation.

Název v anglickém jazyce

Cluster-based Page Segmentation - a fast and precise method for web page pre-processing

Popis výsledku anglicky

Segmenting a web page may be one of initial steps of information retrieval or content classification performed on that page. While there has been an extensive research in this area, the approaches usually focus either on performance or quality of the results. Vision based segmentation is one of the quality focused methods, which are considerably slow. This paper proposes an approach for boosting the performance of vision based algorithms. Our approach is based on concepts of modern web and a very common scenario in which an entire web site is processed at once. In this scenario, a great amount of performance boost can be gained by isomorphic mapping of previous results gathered from pages within the site to other pages on the same site. We provide the results of experiments performed on VIPS, the most common algorithm for page segmentation.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

ED1.1.00/02.0070: Centrum excelence IT4Innovations

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Z - Vyzkumny zamer (s odkazem do CEZ)
S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2013

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

The Third International Conference on Web Intelligence, Mining and Semantics

ISBN

978-1-4503-1850-1

ISSN

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e-ISSN

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Počet stran výsledku

12

Strana od-do

1-12

Název nakladatele

Association for Computing Machinery

Místo vydání

Madrid

Místo konání akce

Madrid

Datum konání akce

12. 6. 2013

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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