On building maps of web pages with a cellular automaton

Autores
Azzag, Hanene; Ratsimba, David; Costa, David da; Guinot, Christiane; Venturrini, Giles
Año de publicación
2006
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
We present in this paper a clustering algorithm which is based on a cellular automaton and which aims at displaying a map of web pages. We describe the main principles of methods that build such maps, and the main principles of cellular automata. We show how these principles can be applied to the problem of web pages clustering: the cells, which are organized in a 2D grid, can be either empty or may contain a page. The local transition function of cells favors the creation of groups of similar states (web pages) in neighbouring cells. We then present the visual results obtained with our method on standard data as well as on sets of documents. These documents are thus organized into a visual map which eases the browsing of these pages
1st IFIP International Conference on Biologically Inspired Cooperative Computing - Web Organization
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
Clustering
Algorithms
Cellular arrays and automata
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/23998
Acceder
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network_name_str SEDICI (UNLP)
spelling On building maps of web pages with a cellular automatonAzzag, HaneneRatsimba, DavidCosta, David daGuinot, ChristianeVenturrini, GilesCiencias InformáticasClusteringAlgorithmsCellular arrays and automataWe present in this paper a clustering algorithm which is based on a cellular automaton and which aims at displaying a map of web pages. We describe the main principles of methods that build such maps, and the main principles of cellular automata. We show how these principles can be applied to the problem of web pages clustering: the cells, which are organized in a 2D grid, can be either empty or may contain a page. The local transition function of cells favors the creation of groups of similar states (web pages) in neighbouring cells. We then present the visual results obtained with our method on standard data as well as on sets of documents. These documents are thus organized into a visual map which eases the browsing of these pages1st IFIP International Conference on Biologically Inspired Cooperative Computing - Web OrganizationRed de Universidades con Carreras en Informática (RedUNCI)2006-08info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/23998enginfo:eu-repo/semantics/altIdentifier/isbn/0-387-34632-5info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-10T11:59:02Zoai:sedici.unlp.edu.ar:10915/23998Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-10 11:59:02.388SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv On building maps of web pages with a cellular automaton
title On building maps of web pages with a cellular automaton
spellingShingle On building maps of web pages with a cellular automaton
Azzag, Hanene
Ciencias Informáticas
Clustering
Algorithms
Cellular arrays and automata
title_short On building maps of web pages with a cellular automaton
title_full On building maps of web pages with a cellular automaton
title_fullStr On building maps of web pages with a cellular automaton
title_full_unstemmed On building maps of web pages with a cellular automaton
title_sort On building maps of web pages with a cellular automaton
dc.creator.none.fl_str_mv Azzag, Hanene
Ratsimba, David
Costa, David da
Guinot, Christiane
Venturrini, Giles
author Azzag, Hanene
author_facet Azzag, Hanene
Ratsimba, David
Costa, David da
Guinot, Christiane
Venturrini, Giles
author_role author
author2 Ratsimba, David
Costa, David da
Guinot, Christiane
Venturrini, Giles
author2_role author
author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Clustering
Algorithms
Cellular arrays and automata
topic Ciencias Informáticas
Clustering
Algorithms
Cellular arrays and automata
dc.description.none.fl_txt_mv We present in this paper a clustering algorithm which is based on a cellular automaton and which aims at displaying a map of web pages. We describe the main principles of methods that build such maps, and the main principles of cellular automata. We show how these principles can be applied to the problem of web pages clustering: the cells, which are organized in a 2D grid, can be either empty or may contain a page. The local transition function of cells favors the creation of groups of similar states (web pages) in neighbouring cells. We then present the visual results obtained with our method on standard data as well as on sets of documents. These documents are thus organized into a visual map which eases the browsing of these pages
1st IFIP International Conference on Biologically Inspired Cooperative Computing - Web Organization
Red de Universidades con Carreras en Informática (RedUNCI)
description We present in this paper a clustering algorithm which is based on a cellular automaton and which aims at displaying a map of web pages. We describe the main principles of methods that build such maps, and the main principles of cellular automata. We show how these principles can be applied to the problem of web pages clustering: the cells, which are organized in a 2D grid, can be either empty or may contain a page. The local transition function of cells favors the creation of groups of similar states (web pages) in neighbouring cells. We then present the visual results obtained with our method on standard data as well as on sets of documents. These documents are thus organized into a visual map which eases the browsing of these pages
publishDate 2006
dc.date.none.fl_str_mv 2006-08
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/23998
url http://sedici.unlp.edu.ar/handle/10915/23998
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/isbn/0-387-34632-5
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
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reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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