Attribute match discovery in information integration: exploiting multiple facets of metadata
Autor(a) principal: | |
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Data de Publicação: | 2002 |
Outros Autores: | , |
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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Journal of the Brazilian Computer Society |
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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 |