Attribute match discovery in information integration: exploiting multiple facets of metadata

Detalhes bibliográficos
Autor(a) principal: Embley,David W.
Data de Publicação: 2002
Outros Autores: Jackman,David, Xu,Li
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Journal of the Brazilian Computer Society
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-65002002000200004
Resumo: Automating semantic matching of attributes for the purpose of information integration is challenging, and the dynamics of the Web further exacerbate this problem. Believing that many facets of metadata can contribute to a resolution, we present a framework for multifaceted exploitation of metadata in which we gather information about potential matches from various facets of metadata and combine this information to generate and place confidence values on potential attribute matches. To make the framework apply in the highly dynamic Web environment, we base our process on machine learning when sufficient applicable data is available and base it otherwise on empirically observed rules. Experiments we have conducted are encouraging, showing that when the combination of facets converges as expected, the results are highly reliable.
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spelling Attribute match discovery in information integration: exploiting multiple facets of metadatasemantic attribute matchinginformation integrationexploitation of metadataAutomating semantic matching of attributes for the purpose of information integration is challenging, and the dynamics of the Web further exacerbate this problem. Believing that many facets of metadata can contribute to a resolution, we present a framework for multifaceted exploitation of metadata in which we gather information about potential matches from various facets of metadata and combine this information to generate and place confidence values on potential attribute matches. To make the framework apply in the highly dynamic Web environment, we base our process on machine learning when sufficient applicable data is available and base it otherwise on empirically observed rules. Experiments we have conducted are encouraging, showing that when the combination of facets converges as expected, the results are highly reliable.Sociedade Brasileira de Computação2002-11-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-65002002000200004Journal of the Brazilian Computer Society v.8 n.2 2002reponame:Journal of the Brazilian Computer Societyinstname:Sociedade Brasileira de Computação (SBC)instacron:UFRGS10.1590/S0104-65002002000200004info:eu-repo/semantics/openAccessEmbley,David W.Jackman,DavidXu,Lieng2004-09-14T00:00:00Zoai:scielo:S0104-65002002000200004Revistahttps://journal-bcs.springeropen.com/PUBhttps://old.scielo.br/oai/scielo-oai.phpjbcs@icmc.sc.usp.br1678-48040104-6500opendoar:2004-09-14T00:00Journal of the Brazilian Computer Society - Sociedade Brasileira de Computação (SBC)false
dc.title.none.fl_str_mv Attribute match discovery in information integration: exploiting multiple facets of metadata
title Attribute match discovery in information integration: exploiting multiple facets of metadata
spellingShingle Attribute match discovery in information integration: exploiting multiple facets of metadata
Embley,David W.
semantic attribute matching
information integration
exploitation of metadata
title_short Attribute match discovery in information integration: exploiting multiple facets of metadata
title_full Attribute match discovery in information integration: exploiting multiple facets of metadata
title_fullStr Attribute match discovery in information integration: exploiting multiple facets of metadata
title_full_unstemmed Attribute match discovery in information integration: exploiting multiple facets of metadata
title_sort Attribute match discovery in information integration: exploiting multiple facets of metadata
author Embley,David W.
author_facet Embley,David W.
Jackman,David
Xu,Li
author_role author
author2 Jackman,David
Xu,Li
author2_role author
author
dc.contributor.author.fl_str_mv Embley,David W.
Jackman,David
Xu,Li
dc.subject.por.fl_str_mv semantic attribute matching
information integration
exploitation of metadata
topic semantic attribute matching
information integration
exploitation of metadata
description Automating semantic matching of attributes for the purpose of information integration is challenging, and the dynamics of the Web further exacerbate this problem. Believing that many facets of metadata can contribute to a resolution, we present a framework for multifaceted exploitation of metadata in which we gather information about potential matches from various facets of metadata and combine this information to generate and place confidence values on potential attribute matches. To make the framework apply in the highly dynamic Web environment, we base our process on machine learning when sufficient applicable data is available and base it otherwise on empirically observed rules. Experiments we have conducted are encouraging, showing that when the combination of facets converges as expected, the results are highly reliable.
publishDate 2002
dc.date.none.fl_str_mv 2002-11-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-65002002000200004
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-65002002000200004
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0104-65002002000200004
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Computação
publisher.none.fl_str_mv Sociedade Brasileira de Computação
dc.source.none.fl_str_mv Journal of the Brazilian Computer Society v.8 n.2 2002
reponame:Journal of the Brazilian Computer Society
instname:Sociedade Brasileira de Computação (SBC)
instacron:UFRGS
instname_str Sociedade Brasileira de Computação (SBC)
instacron_str UFRGS
institution UFRGS
reponame_str Journal of the Brazilian Computer Society
collection Journal of the Brazilian Computer Society
repository.name.fl_str_mv Journal of the Brazilian Computer Society - Sociedade Brasileira de Computação (SBC)
repository.mail.fl_str_mv jbcs@icmc.sc.usp.br
_version_ 1754734669582041088

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