Data quality evaluation in data integration systems

Peralta Costabel, Veronika del Carmen

Supervisor(es): Akoka, Jacky - Bouzeghoub, Mokrane - Calabretto, Sylvie - Ruggia Frick, Raúl Julián

Resumen:

This thesis deals with data quality evaluation in Data Integration Systems (DIS). Specifically, we address the problems of evaluating the quality of the data conveyed to users in response to their queries and verifying if users quality expectations can be achieved. We also analyze how quality measures can be used for improving the DIS and enforcing data quality. Our approach consists in studying one quality factor at a time, analyzing its impact within a DIS, proposing techniques for its evaluation and proposing improvement actions for its enforcement. Among the quality factors that have been proposed, this thesis analyzes two of the most used ones: data freshness and data accuracy


Detalles Bibliográficos
2006
Calidad de Bases de datos
Bases de datos
Calidad de Servicios
Difusión Selectiva de la Información
Algoritmos
Integración de Sistemas
Español
Universidad de la República
COLIBRI
http://hdl.handle.net/20.500.12008/2925
Acceso abierto
Licencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC BY-NC-ND 4.0)
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author Peralta Costabel, Veronika del Carmen
author_facet Peralta Costabel, Veronika del Carmen
author_role author
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collection COLIBRI
dc.creator.advisor.none.fl_str_mv Akoka, Jacky
Bouzeghoub, Mokrane
Calabretto, Sylvie
Ruggia Frick, Raúl Julián
dc.creator.none.fl_str_mv Peralta Costabel, Veronika del Carmen
dc.date.accessioned.none.fl_str_mv 2014-11-24T22:35:42Z
dc.date.available.none.fl_str_mv 2014-11-24T22:35:42Z
dc.date.issued.es.fl_str_mv 2006
dc.date.submitted.es.fl_str_mv 20141202
dc.description.abstract.none.fl_txt_mv This thesis deals with data quality evaluation in Data Integration Systems (DIS). Specifically, we address the problems of evaluating the quality of the data conveyed to users in response to their queries and verifying if users quality expectations can be achieved. We also analyze how quality measures can be used for improving the DIS and enforcing data quality. Our approach consists in studying one quality factor at a time, analyzing its impact within a DIS, proposing techniques for its evaluation and proposing improvement actions for its enforcement. Among the quality factors that have been proposed, this thesis analyzes two of the most used ones: data freshness and data accuracy
dc.format.extent.es.fl_str_mv 169 p.
dc.format.mimetype.es.fl_str_mv application/pdf
dc.identifier.citation.es.fl_str_mv PERALTA COSTABEL, V. "Data quality evaluation in data integration systems". Tesis de doctorado, Universidad de la República (Uruguay). Facultad de Ingeniería. Instituto de Computación – PEDECIBA, 2006.
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/20.500.12008/2925
dc.language.iso.none.fl_str_mv es
spa
dc.publisher.es.fl_str_mv UR. FI-INCO,
dc.rights.license.none.fl_str_mv Licencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC BY-NC-ND 4.0)
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv reponame:COLIBRI
instname:Universidad de la República
instacron:Universidad de la República
dc.subject.es.fl_str_mv Calidad de Bases de datos
Bases de datos
Calidad de Servicios
Difusión Selectiva de la Información
Algoritmos
Integración de Sistemas
dc.title.none.fl_str_mv Data quality evaluation in data integration systems
dc.type.es.fl_str_mv Tesis de doctorado
dc.type.none.fl_str_mv info:eu-repo/semantics/doctoralThesis
dc.type.version.none.fl_str_mv info:eu-repo/semantics/acceptedVersion
description This thesis deals with data quality evaluation in Data Integration Systems (DIS). Specifically, we address the problems of evaluating the quality of the data conveyed to users in response to their queries and verifying if users quality expectations can be achieved. We also analyze how quality measures can be used for improving the DIS and enforcing data quality. Our approach consists in studying one quality factor at a time, analyzing its impact within a DIS, proposing techniques for its evaluation and proposing improvement actions for its enforcement. Among the quality factors that have been proposed, this thesis analyzes two of the most used ones: data freshness and data accuracy
eu_rights_str_mv openAccess
format doctoralThesis
id COLIBRI_0324a111ecea1c46ac893e50bdb8bd8e
identifier_str_mv PERALTA COSTABEL, V. "Data quality evaluation in data integration systems". Tesis de doctorado, Universidad de la República (Uruguay). Facultad de Ingeniería. Instituto de Computación – PEDECIBA, 2006.
instacron_str Universidad de la República
institution Universidad de la República
instname_str Universidad de la República
language spa
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network_acronym_str COLIBRI
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publishDate 2006
reponame_str COLIBRI
repository.mail.fl_str_mv mabel.seroubian@seciu.edu.uy
repository.name.fl_str_mv COLIBRI - Universidad de la República
repository_id_str 4771
rights_invalid_str_mv Licencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC BY-NC-ND 4.0)
spelling 2014-11-24T22:35:42Z2014-11-24T22:35:42Z200620141202PERALTA COSTABEL, V. "Data quality evaluation in data integration systems". Tesis de doctorado, Universidad de la República (Uruguay). Facultad de Ingeniería. Instituto de Computación – PEDECIBA, 2006.http://hdl.handle.net/20.500.12008/2925This thesis deals with data quality evaluation in Data Integration Systems (DIS). Specifically, we address the problems of evaluating the quality of the data conveyed to users in response to their queries and verifying if users quality expectations can be achieved. We also analyze how quality measures can be used for improving the DIS and enforcing data quality. Our approach consists in studying one quality factor at a time, analyzing its impact within a DIS, proposing techniques for its evaluation and proposing improvement actions for its enforcement. 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Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC BY-NC-ND 4.0)Calidad de Bases de datosBases de datosCalidad de ServiciosDifusión Selectiva de la InformaciónAlgoritmosIntegración de SistemasData quality evaluation in data integration systemsTesis de doctoradoinfo:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/acceptedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaPeralta Costabel, Veronika del CarmenAkoka, JackyBouzeghoub, MokraneCalabretto, SylvieRuggia Frick, Raúl JuliánUniversidad de la República (Uruguay). Facultad de Ingeniería. 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- Universidad de la Repúblicafalse
spellingShingle Data quality evaluation in data integration systems
Peralta Costabel, Veronika del Carmen
Calidad de Bases de datos
Bases de datos
Calidad de Servicios
Difusión Selectiva de la Información
Algoritmos
Integración de Sistemas
status_str acceptedVersion
title Data quality evaluation in data integration systems
title_full Data quality evaluation in data integration systems
title_fullStr Data quality evaluation in data integration systems
title_full_unstemmed Data quality evaluation in data integration systems
title_short Data quality evaluation in data integration systems
title_sort Data quality evaluation in data integration systems
topic Calidad de Bases de datos
Bases de datos
Calidad de Servicios
Difusión Selectiva de la Información
Algoritmos
Integración de Sistemas
url http://hdl.handle.net/20.500.12008/2925