An improved fuzzy system for representing web pages in clustering tasks

Keeping information organized is an important issue to make information access easier. Although the information we need is sometimes available on the Web, this information is only useful if we have the ability to find it. With this aim, it is increasingly frequent to use automatic techniques for gro...

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Detalhes bibliográficos
Autor: Pérez García-Plaza, Alberto
Formato: tesis doctoral
Fecha de publicación:2012
País:España
Recursos:Universidad Nacional de Educación a Distancia
Repositorio:e-spacio. Repositorio Institucional de la UNED
Idioma:inglés
OAI Identifier:oai:e-spacio.uned.es:20.500.14468/21060
Acesso em linha:https://hdl.handle.net/20.500.14468/21060
Access Level:acceso abierto
Palavra-chave:páginas web
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spelling An improved fuzzy system for representing web pages in clustering tasksPérez García-Plaza, Albertopáginas webKeeping information organized is an important issue to make information access easier. Although the information we need is sometimes available on the Web, this information is only useful if we have the ability to find it. With this aim, it is increasingly frequent to use automatic techniques for grouping documents. In this thesis we are interested in document clustering, that is, grouping doc- uments based on the similarity of their contents. In this regard, document repre- sentation plays a very important role in web page clustering and constitutes the central point of research of this dissertation. Web pages are commonly written in HTML language, that offers explicit information (tags, in this case) about their visual representation, the typography of the text or its structure, among others. It is also a widely used format on the Internet. The main goal of this thesis is to perform a deep study with the aim of making the most of a fuzzy model to represent HTML documents for clustering tasks. Our study deals with the idea of discovering whether any part of the system could be exploited in a different way to improve clustering results. We begin our work analyzing the parts of the system where there is room for improvement and then we study different alternatives to do so. Thereby, we do not propose a document representation from the beginning, but we build it trying to understand its different parts during each step. To evaluate our results and compare the different representation proposals, we use different web page collections previously gathered to be used as gold stan- dards. Clustering is performed by using state-of-the-art algorithms and our pro- posals are validated in environments of plain and hierarchical clustering. Lastly, we also test the usefulness of our approaches in two languages: English and SpanishUniversidad Nacional de Educación a Distancia (España). Escuela Técnica Superior de Ingeniería Informática. Departamento de Lenguajes y Sistemas InformáticosFresno Fernández, Víctor DiegoMartínez Unanue, Raquele-Spacio UNED20242024-05-2120122012-10-2320122012-10-23doctoral thesishttp://purl.org/coar/resource_type/c_db06info:eu-repo/semantics/doctoralThesisapplication/pdfhttps://hdl.handle.net/20.500.14468/21060reponame:e-spacio. Repositorio Institucional de la UNEDinstname:Universidad Nacional de Educación a DistanciaInglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0oai:e-spacio.uned.es:20.500.14468/210602026-06-06T12:38:31Z
dc.title.none.fl_str_mv An improved fuzzy system for representing web pages in clustering tasks
title An improved fuzzy system for representing web pages in clustering tasks
spellingShingle An improved fuzzy system for representing web pages in clustering tasks
Pérez García-Plaza, Alberto
páginas web
title_short An improved fuzzy system for representing web pages in clustering tasks
title_full An improved fuzzy system for representing web pages in clustering tasks
title_fullStr An improved fuzzy system for representing web pages in clustering tasks
title_full_unstemmed An improved fuzzy system for representing web pages in clustering tasks
title_sort An improved fuzzy system for representing web pages in clustering tasks
dc.creator.none.fl_str_mv Pérez García-Plaza, Alberto
author Pérez García-Plaza, Alberto
author_facet Pérez García-Plaza, Alberto
author_role author
dc.contributor.none.fl_str_mv Fresno Fernández, Víctor Diego
Martínez Unanue, Raquel
e-Spacio UNED
dc.subject.none.fl_str_mv páginas web
topic páginas web
description Keeping information organized is an important issue to make information access easier. Although the information we need is sometimes available on the Web, this information is only useful if we have the ability to find it. With this aim, it is increasingly frequent to use automatic techniques for grouping documents. In this thesis we are interested in document clustering, that is, grouping doc- uments based on the similarity of their contents. In this regard, document repre- sentation plays a very important role in web page clustering and constitutes the central point of research of this dissertation. Web pages are commonly written in HTML language, that offers explicit information (tags, in this case) about their visual representation, the typography of the text or its structure, among others. It is also a widely used format on the Internet. The main goal of this thesis is to perform a deep study with the aim of making the most of a fuzzy model to represent HTML documents for clustering tasks. Our study deals with the idea of discovering whether any part of the system could be exploited in a different way to improve clustering results. We begin our work analyzing the parts of the system where there is room for improvement and then we study different alternatives to do so. Thereby, we do not propose a document representation from the beginning, but we build it trying to understand its different parts during each step. To evaluate our results and compare the different representation proposals, we use different web page collections previously gathered to be used as gold stan- dards. Clustering is performed by using state-of-the-art algorithms and our pro- posals are validated in environments of plain and hierarchical clustering. Lastly, we also test the usefulness of our approaches in two languages: English and Spanish
publishDate 2012
dc.date.none.fl_str_mv 2012
2012-10-23
2012
2012-10-23
2024
2024-05-21
dc.type.none.fl_str_mv doctoral thesis
http://purl.org/coar/resource_type/c_db06
dc.type.openaire.fl_str_mv info:eu-repo/semantics/doctoralThesis
format doctoralThesis
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14468/21060
url https://hdl.handle.net/20.500.14468/21060
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-nd/4.0
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
http://creativecommons.org/licenses/by-nc-nd/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidad Nacional de Educación a Distancia (España). Escuela Técnica Superior de Ingeniería Informática. Departamento de Lenguajes y Sistemas Informáticos
publisher.none.fl_str_mv Universidad Nacional de Educación a Distancia (España). Escuela Técnica Superior de Ingeniería Informática. Departamento de Lenguajes y Sistemas Informáticos
dc.source.none.fl_str_mv reponame:e-spacio. Repositorio Institucional de la UNED
instname:Universidad Nacional de Educación a Distancia
instname_str Universidad Nacional de Educación a Distancia
reponame_str e-spacio. Repositorio Institucional de la UNED
collection e-spacio. Repositorio Institucional de la UNED
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.811543

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