Operationalising “Websites”: lexically, semantically or topologically?

Methods to investigate the structure of the Web graph in order to better understand its properties are of interest to many researchers. The scale and complexity of the Web-page digraph is typically managed by aggregating together or clustering individual Web-pages in order to form “Websites”. It is...

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Detalles Bibliográficos
Autores: Cothey, Viv, Aguillo, Isidro F., Arroyo, Natalia
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2006
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/174425
Acceso en línea:http://hdl.handle.net/10261/174425
Access Level:acceso abierto
Palabra clave:World Wide Web
Web graph
Website
Topology
Cliques
Clusters
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network_acronym_str ES
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repository_id_str
spelling Operationalising “Websites”: lexically, semantically or topologically?Cothey, VivAguillo, Isidro F.Arroyo, NataliaWorld Wide WebWeb graphWebsiteTopologyCliquesClustersMethods to investigate the structure of the Web graph in order to better understand its properties are of interest to many researchers. The scale and complexity of the Web-page digraph is typically managed by aggregating together or clustering individual Web-pages in order to form “Websites”. It is the properties of these Websites which then become the focus of research. The most popular Web-page clustering technique is "lexical" and uses the url syntax in order to assign Web-pages to “Websites”. Semantic clustering, that is clustering Web-pages according to the similarity of their content has also been proposed. In this paper we consider a third approach to Web-page clustering which is based on the topological properties of the Web-page within the Web-page digraph. We present the technique and report the results of an experiment to compare the use of url-lexically and topologically determined Websites in two sub-domains, one within the Spanish country level domain and the other within the UK country level domain of the WebPeer reviewedEditorial CSICConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]201920192006info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/174425reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)InglésSíinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/1744252026-05-22T06:33:51Z
dc.title.none.fl_str_mv Operationalising “Websites”: lexically, semantically or topologically?
title Operationalising “Websites”: lexically, semantically or topologically?
spellingShingle Operationalising “Websites”: lexically, semantically or topologically?
Cothey, Viv
World Wide Web
Web graph
Website
Topology
Cliques
Clusters
title_short Operationalising “Websites”: lexically, semantically or topologically?
title_full Operationalising “Websites”: lexically, semantically or topologically?
title_fullStr Operationalising “Websites”: lexically, semantically or topologically?
title_full_unstemmed Operationalising “Websites”: lexically, semantically or topologically?
title_sort Operationalising “Websites”: lexically, semantically or topologically?
dc.creator.none.fl_str_mv Cothey, Viv
Aguillo, Isidro F.
Arroyo, Natalia
author Cothey, Viv
author_facet Cothey, Viv
Aguillo, Isidro F.
Arroyo, Natalia
author_role author
author2 Aguillo, Isidro F.
Arroyo, Natalia
author2_role author
author
dc.contributor.none.fl_str_mv Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv World Wide Web
Web graph
Website
Topology
Cliques
Clusters
topic World Wide Web
Web graph
Website
Topology
Cliques
Clusters
description Methods to investigate the structure of the Web graph in order to better understand its properties are of interest to many researchers. The scale and complexity of the Web-page digraph is typically managed by aggregating together or clustering individual Web-pages in order to form “Websites”. It is the properties of these Websites which then become the focus of research. The most popular Web-page clustering technique is "lexical" and uses the url syntax in order to assign Web-pages to “Websites”. Semantic clustering, that is clustering Web-pages according to the similarity of their content has also been proposed. In this paper we consider a third approach to Web-page clustering which is based on the topological properties of the Web-page within the Web-page digraph. We present the technique and report the results of an experiment to compare the use of url-lexically and topologically determined Websites in two sub-domains, one within the Spanish country level domain and the other within the UK country level domain of the Web
publishDate 2006
dc.date.none.fl_str_mv 2006
2019
2019
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/174425
url http://hdl.handle.net/10261/174425
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Editorial CSIC
publisher.none.fl_str_mv Editorial CSIC
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869409863411433472
score 15,812455

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