Supporting Schema References in Keyword Queries over Relational Databases

Detalhes bibliográficos
Autor(a) principal: Martins, Paulo Rodrigo Oliveira
Data de Publicação: 2020
Outros Autores: http://lattes.cnpq.br/5060411621848198
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Biblioteca Digital de Teses e Dissertações da UFAM
Texto Completo: https://tede.ufam.edu.br/handle/tede/7815
Resumo: Relational Keyword Search (R-KwS) systems enable naive/informal users to retrieve information from relational databases without any knowledge about schema details or query languages. Roughly, R-KwS systems must determine which pieces of information to retrieve from the database and how to connect them to generate a relevant answer for the user. For instance, the keywords from the query may refer either to instance values or to database schema elements, such as relations and attributes names. Unfortunately, most of the R-KwS systems do not support references to the database schema. In this work, we propose a new method to generate an adequate SQL query from an input keyword query, taking advantage of references to the content of the database as well as references to the database schema. Our experiments indicate that schema references can help to improve the quality of the ranking the answers for the user.
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spelling Supporting Schema References in Keyword Queries over Relational DatabasesSuporte a referências de esquema em consultas de palavras-chave em Bancos de dados relacionaisRelational keyword search systemRelational databasesDatabase schema elementsQuery languagesKeyword queryCIÊNCIAS EXATAS E DA TERRA: CIÊNCIA DA COMPUTAÇÃOKeyword SearchRelational DatabasesSchema ReferencesCandidate NetworksRelational Keyword Search (R-KwS) systems enable naive/informal users to retrieve information from relational databases without any knowledge about schema details or query languages. Roughly, R-KwS systems must determine which pieces of information to retrieve from the database and how to connect them to generate a relevant answer for the user. For instance, the keywords from the query may refer either to instance values or to database schema elements, such as relations and attributes names. Unfortunately, most of the R-KwS systems do not support references to the database schema. In this work, we propose a new method to generate an adequate SQL query from an input keyword query, taking advantage of references to the content of the database as well as references to the database schema. Our experiments indicate that schema references can help to improve the quality of the ranking the answers for the user.Relational Keyword Search (R-KwS) systems enable naive/informal users to retrieve information from relational databases without any knowledge about schema details or query languages. Roughly, R-KwS systems must determine which pieces of information to retrieve from the database and how to connect them to generate a relevant answer for the user. For instance, the keywords from the query may refer either to instance values or to database schema elements, such as relations and attributes names. Unfortunately, most of the R-KwS systems do not support references to the database schema. In this work, we propose a new method to generate an adequate SQL query from an input keyword query, taking advantage of references to the content of the database as well as references to the database schema. Our experiments indicate that schema references can help to improve the quality of the ranking the answers for the user.Universidade Federal do AmazonasInstituto de ComputaçãoBrasilUFAMPrograma de Pós-graduação em InformáticaSilva, Altigran Soares dahttp://lattes.cnpq.br/3405503472010994Moura, Edleno Silva dehttp://lattes.cnpq.br/4737852130924504Cavalcanti, João Marcos Bastoshttp://lattes.cnpq.br/3537707069694606Martins, Paulo Rodrigo Oliveirahttp://lattes.cnpq.br/50604116218481982020-06-14T02:37:56Z2020-03-27info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfMARTINS, Paulo Rodrigo Oliveira. Supporting Schema References in Keyword Queries over Relational Databases. 2020. 70 f. Dissertação (Mestrado em Informática) - Universidade Federal do Amazonas, Manaus, 2020.https://tede.ufam.edu.br/handle/tede/7815enghttp://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccessreponame:Biblioteca Digital de Teses e Dissertações da UFAMinstname:Universidade Federal do Amazonas (UFAM)instacron:UFAM2020-06-14T05:03:50Zoai:https://tede.ufam.edu.br/handle/:tede/7815Biblioteca Digital de Teses e Dissertaçõeshttp://200.129.163.131:8080/PUBhttp://200.129.163.131:8080/oai/requestddbc@ufam.edu.br||ddbc@ufam.edu.bropendoar:65922020-06-14T05:03:50Biblioteca Digital de Teses e Dissertações da UFAM - Universidade Federal do Amazonas (UFAM)false
dc.title.none.fl_str_mv Supporting Schema References in Keyword Queries over Relational Databases
Suporte a referências de esquema em consultas de palavras-chave em Bancos de dados relacionais
title Supporting Schema References in Keyword Queries over Relational Databases
spellingShingle Supporting Schema References in Keyword Queries over Relational Databases
Martins, Paulo Rodrigo Oliveira
Relational keyword search system
Relational databases
Database schema elements
Query languages
Keyword query
CIÊNCIAS EXATAS E DA TERRA: CIÊNCIA DA COMPUTAÇÃO
Keyword Search
Relational Databases
Schema References
Candidate Networks
title_short Supporting Schema References in Keyword Queries over Relational Databases
title_full Supporting Schema References in Keyword Queries over Relational Databases
title_fullStr Supporting Schema References in Keyword Queries over Relational Databases
title_full_unstemmed Supporting Schema References in Keyword Queries over Relational Databases
title_sort Supporting Schema References in Keyword Queries over Relational Databases
author Martins, Paulo Rodrigo Oliveira
author_facet Martins, Paulo Rodrigo Oliveira
http://lattes.cnpq.br/5060411621848198
author_role author
author2 http://lattes.cnpq.br/5060411621848198
author2_role author
dc.contributor.none.fl_str_mv Silva, Altigran Soares da
http://lattes.cnpq.br/3405503472010994
Moura, Edleno Silva de
http://lattes.cnpq.br/4737852130924504
Cavalcanti, João Marcos Bastos
http://lattes.cnpq.br/3537707069694606
dc.contributor.author.fl_str_mv Martins, Paulo Rodrigo Oliveira
http://lattes.cnpq.br/5060411621848198
dc.subject.por.fl_str_mv Relational keyword search system
Relational databases
Database schema elements
Query languages
Keyword query
CIÊNCIAS EXATAS E DA TERRA: CIÊNCIA DA COMPUTAÇÃO
Keyword Search
Relational Databases
Schema References
Candidate Networks
topic Relational keyword search system
Relational databases
Database schema elements
Query languages
Keyword query
CIÊNCIAS EXATAS E DA TERRA: CIÊNCIA DA COMPUTAÇÃO
Keyword Search
Relational Databases
Schema References
Candidate Networks
description Relational Keyword Search (R-KwS) systems enable naive/informal users to retrieve information from relational databases without any knowledge about schema details or query languages. Roughly, R-KwS systems must determine which pieces of information to retrieve from the database and how to connect them to generate a relevant answer for the user. For instance, the keywords from the query may refer either to instance values or to database schema elements, such as relations and attributes names. Unfortunately, most of the R-KwS systems do not support references to the database schema. In this work, we propose a new method to generate an adequate SQL query from an input keyword query, taking advantage of references to the content of the database as well as references to the database schema. Our experiments indicate that schema references can help to improve the quality of the ranking the answers for the user.
publishDate 2020
dc.date.none.fl_str_mv 2020-06-14T02:37:56Z
2020-03-27
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv MARTINS, Paulo Rodrigo Oliveira. Supporting Schema References in Keyword Queries over Relational Databases. 2020. 70 f. Dissertação (Mestrado em Informática) - Universidade Federal do Amazonas, Manaus, 2020.
https://tede.ufam.edu.br/handle/tede/7815
identifier_str_mv MARTINS, Paulo Rodrigo Oliveira. Supporting Schema References in Keyword Queries over Relational Databases. 2020. 70 f. Dissertação (Mestrado em Informática) - Universidade Federal do Amazonas, Manaus, 2020.
url https://tede.ufam.edu.br/handle/tede/7815
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal do Amazonas
Instituto de Computação
Brasil
UFAM
Programa de Pós-graduação em Informática
publisher.none.fl_str_mv Universidade Federal do Amazonas
Instituto de Computação
Brasil
UFAM
Programa de Pós-graduação em Informática
dc.source.none.fl_str_mv reponame:Biblioteca Digital de Teses e Dissertações da UFAM
instname:Universidade Federal do Amazonas (UFAM)
instacron:UFAM
instname_str Universidade Federal do Amazonas (UFAM)
instacron_str UFAM
institution UFAM
reponame_str Biblioteca Digital de Teses e Dissertações da UFAM
collection Biblioteca Digital de Teses e Dissertações da UFAM
repository.name.fl_str_mv Biblioteca Digital de Teses e Dissertações da UFAM - Universidade Federal do Amazonas (UFAM)
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