Processamento distribu?do da consulta espa?o textual top-k

Detalhes bibliográficos
Ano de defesa: 2017
Autor(a) principal: Novaes, Tiago Fernandes de Athayde lattes
Orientador(a): Rocha Junior, Jo?o Batista
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Estadual de Feira de Santana
Programa de Pós-Graduação: Mestrado em Computa??o Aplicada
Departamento: DEPARTAMENTO DE CI?NCIAS EXATAS
País: Brasil
Palavras-chave em Português:
Palavras-chave em Inglês:
Área do conhecimento CNPq:
Link de acesso: http://localhost:8080/tede/handle/tede/530
Resumo: With the popularization of databases containing objects with spatial and textual information (spatio-textual object), the interest in new queries and techniques for retrieving these objects have increased. In this scenario, the main query is the the top-k spatio-textual query. This query retrieves the k best spatio-textual objects considering the distance of the object to the query location and the textual similarity between the query keywords and the textual information of the objects. However, most the studies related to top-k spatio-textual query are performed in centralized environments, not addressing real world problems such as scalability. In this paper, we study different strategies for partitioning the data and processing the top-k spatio-textual query in a distributed environment. We evaluate each strategy in a real distributed environment, employing real datasets.
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spelling Rocha Junior, Jo?o Batista0277881846400553970500http://lattes.cnpq.br/5741698898011472Novaes, Tiago Fernandes de Athayde2017-11-28T21:38:06Z2017-07-17NOVAES, Tiago Fernandes de Athayde. Processamento distribu?do da consulta espa?o textual top-k. 2017. 64 f. Disserta??o (Mestrado em Computa??o Aplicada)- Universidade Estadual de Feira de Santana, Feira de Santana, 2017.http://localhost:8080/tede/handle/tede/530With the popularization of databases containing objects with spatial and textual information (spatio-textual object), the interest in new queries and techniques for retrieving these objects have increased. In this scenario, the main query is the the top-k spatio-textual query. This query retrieves the k best spatio-textual objects considering the distance of the object to the query location and the textual similarity between the query keywords and the textual information of the objects. However, most the studies related to top-k spatio-textual query are performed in centralized environments, not addressing real world problems such as scalability. In this paper, we study different strategies for partitioning the data and processing the top-k spatio-textual query in a distributed environment. We evaluate each strategy in a real distributed environment, employing real datasets.Com a populariza??o de bases de dados contendo objetos que possuem informa??o espacial e textual (objeto espa?o-textual), aumentou o interesse por novas consultas e t?cnicas capazes de recuperar esses objetos de forma eficiente. Uma das principais consultas para objetos espa?o-textuais ? a consulta espa?o-textual top-k. Essa consulta visa recuperar os k melhores objetos considerando a dist?ncia do objeto at? um local informado na consulta e a similaridade textual entre palavras-chave de busca e a informa??o textual dos objetos. No entanto, a maioria dos estudos para consultas espa?o-textual top-k assumem ambientes centralizados, n?o abordando problemas frequentes em aplica??es do mundo real como escalabilidade. Nesta disserta??o s?o estudadas diferentes formas de particionar os dados e o impacto destes particionamentos no processamento da consulta espa?o-textual top-k em um ambiente distribu?do. Todas as estrat?gias propostas s?o avaliadas em um ambiente distribu?do real, utilizando dados reais.Submitted by Ricardo Cedraz Duque Moliterno (ricardo.moliterno@uefs.br) on 2017-11-28T21:38:06Z No. of bitstreams: 1 dissertacao-versao-final.pdf: 2717503 bytes, checksum: a1476bba65482b40daa1a139191ea912 (MD5)Made available in DSpace on 2017-11-28T21:38:06Z (GMT). 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dc.title.por.fl_str_mv Processamento distribu?do da consulta espa?o textual top-k
title Processamento distribu?do da consulta espa?o textual top-k
spellingShingle Processamento distribu?do da consulta espa?o textual top-k
Novaes, Tiago Fernandes de Athayde
Particionamento de dados
Processamento de consultas distribu?das
Consultas espa?o-textuais
Sistemas de informa??o
Recupera??o de informa??o
Data partitioning
Distributed query processing
Spatio-textual query
Information systems
Information retrieval
CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
title_short Processamento distribu?do da consulta espa?o textual top-k
title_full Processamento distribu?do da consulta espa?o textual top-k
title_fullStr Processamento distribu?do da consulta espa?o textual top-k
title_full_unstemmed Processamento distribu?do da consulta espa?o textual top-k
title_sort Processamento distribu?do da consulta espa?o textual top-k
author Novaes, Tiago Fernandes de Athayde
author_facet Novaes, Tiago Fernandes de Athayde
author_role author
dc.contributor.advisor1.fl_str_mv Rocha Junior, Jo?o Batista
dc.contributor.advisor1ID.fl_str_mv 02778818464
dc.contributor.authorID.fl_str_mv 00553970500
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/5741698898011472
dc.contributor.author.fl_str_mv Novaes, Tiago Fernandes de Athayde
contributor_str_mv Rocha Junior, Jo?o Batista
dc.subject.por.fl_str_mv Particionamento de dados
Processamento de consultas distribu?das
Consultas espa?o-textuais
Sistemas de informa??o
Recupera??o de informa??o
topic Particionamento de dados
Processamento de consultas distribu?das
Consultas espa?o-textuais
Sistemas de informa??o
Recupera??o de informa??o
Data partitioning
Distributed query processing
Spatio-textual query
Information systems
Information retrieval
CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
dc.subject.eng.fl_str_mv Data partitioning
Distributed query processing
Spatio-textual query
Information systems
Information retrieval
dc.subject.cnpq.fl_str_mv CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
description With the popularization of databases containing objects with spatial and textual information (spatio-textual object), the interest in new queries and techniques for retrieving these objects have increased. In this scenario, the main query is the the top-k spatio-textual query. This query retrieves the k best spatio-textual objects considering the distance of the object to the query location and the textual similarity between the query keywords and the textual information of the objects. However, most the studies related to top-k spatio-textual query are performed in centralized environments, not addressing real world problems such as scalability. In this paper, we study different strategies for partitioning the data and processing the top-k spatio-textual query in a distributed environment. We evaluate each strategy in a real distributed environment, employing real datasets.
publishDate 2017
dc.date.accessioned.fl_str_mv 2017-11-28T21:38:06Z
dc.date.issued.fl_str_mv 2017-07-17
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
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dc.identifier.citation.fl_str_mv NOVAES, Tiago Fernandes de Athayde. Processamento distribu?do da consulta espa?o textual top-k. 2017. 64 f. Disserta??o (Mestrado em Computa??o Aplicada)- Universidade Estadual de Feira de Santana, Feira de Santana, 2017.
dc.identifier.uri.fl_str_mv http://localhost:8080/tede/handle/tede/530
identifier_str_mv NOVAES, Tiago Fernandes de Athayde. Processamento distribu?do da consulta espa?o textual top-k. 2017. 64 f. Disserta??o (Mestrado em Computa??o Aplicada)- Universidade Estadual de Feira de Santana, Feira de Santana, 2017.
url http://localhost:8080/tede/handle/tede/530
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