A hybrid approach for extracting informative content from web pages

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dc.authoridUzun, Erdinç/0000-0003-4351-2244
dc.authoridAgun, Hayri Volkan/0000-0002-4253-8920
dc.authoridYerlikaya, Tarik/0000-0002-9888-0151
dc.authorwosidUzun, Erdinç/AAG-5529-2019
dc.authorwosidYerlikaya, Tarık/AGP-6489-2022
dc.authorwosidAgun, Hayri Volkan/P-5002-2019
dc.contributor.authorUzun, Erdinc
dc.contributor.authorAgun, Hayri Volkan
dc.contributor.authorYerlikaya, Tarik
dc.date.accessioned2024-06-12T11:17:14Z
dc.date.available2024-06-12T11:17:14Z
dc.date.issued2013
dc.departmentTrakya Üniversitesien_US
dc.description.abstractEliminating noisy information and extracting informative content have become important issues for web mining, search and accessibility. This extraction process can employ automatic techniques and hand-crafted rules. Automatic extraction techniques focus on various machine learning methods, but implementing these techniques increases time complexity of the extraction process. Conversely, extraction through hand-crafted rules is an efficient technique that uses string manipulation functions, but preparing these rules is difficult and cumbersome for users. In this paper, we present a hybrid approach that contains two steps that can invoke each other. The first step discovers informative content using Decision Tree Learning as an appropriate machine learning method and creates rules from the results of this learning method. The second step extracts informative content using rules obtained from the first step. However, if the second step does not return an extraction result, the first step gets invoked. In our experiments, the first step achieves high accuracy with 95.76% in extraction of the informative content. Moreover, 71.92% of the rules can be used in the extraction process, and it is approximately 240 times faster than the first step. (C) 2013 Elsevier Ltd. All rights reserved.en_US
dc.identifier.doi10.1016/j.ipm.2013.02.005
dc.identifier.endpage944en_US
dc.identifier.issn0306-4573
dc.identifier.issn1873-5371
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-84875710694en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage928en_US
dc.identifier.urihttps://doi.org/10.1016/j.ipm.2013.02.005
dc.identifier.urihttps://hdl.handle.net/20.500.14551/24628
dc.identifier.volume49en_US
dc.identifier.wosWOS:000319543800015en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevier Sci Ltden_US
dc.relation.ispartofInformation Processing & Managementen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectWeb Content Extractionen_US
dc.subjectTemplate Detectionen_US
dc.subjectWeb Cleaningen_US
dc.subjectWeb Learning Modelingen_US
dc.subjectSearching Strategiesen_US
dc.titleA hybrid approach for extracting informative content from web pagesen_US
dc.typeArticleen_US

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