Incorporando dados espaciais vagos em data warehouses geográficos: a proposta do tipo abstrato de dados vaguegeometry

Detalhes bibliográficos
Autor(a) principal: Carniel, Anderson Chaves
Data de Publicação: 2014
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Repositório Institucional da UFSCAR
Texto Completo: https://repositorio.ufscar.br/handle/ufscar/582
Resumo: A data warehouse is a solution for organizing and storing multidimensional data related to decision-making processes in companies, generating a historical, highly voluminous, subject-oriented and nonvolatile database. A geographic data warehouse (GDW) additio¬nally to the conventional data storage (i.e. numeric and alphanumeric data), stores spatial data as attributes in dimension tables or as measures in fact tables, storing data represented by geometries. Points, lines and polygons are examples of spatial data types. While spatial data currently stored in GDWs are crisp, i.e., they have exact location in the space, strict interiors and well-defined boundaries, geographic applications have required the storage of vague spatial data, which have inaccurate location, inexact interiors or uncertain bounda¬ries. This Master s research aims at incorporating vague spatial data to GDWs. More speci¬fically, we propose and implement a new abstract data type (ADT) called VagueGeometry to represent vague spatial data in the Spatial Database Management System (SDBMS) Post- greSQL/PostGIS. The proposal of the ADT VagueGeometry encompasses the issue of phy¬sical storage for vague spatial data, which are complex and can have several disjoint parts. It also focuses on definitions of operations to handle vague spatial objects, such as vague topological predicates and its operators. Experimental evaluations were conducted in order to assess the performance of the ADT VagueGeometry in comparison to available solutions, such as implementation of vague topological predicates utilizing existing operations of the PostGIS. The proposed ADT VagueGeometry shown reductions in query processing with vague topological predicates from 81.63% to 90.34% in spatial databases and reductions from 92.46% a 95.20% in GDW environments. This Master s project, therefore, advances in the state of art in GDWs to study this gap in the literature. Additionally, fuzzy models to represent vague spatial data was also studied, and as a result, a preliminary proposal of a ADT, called as FuzzyGeometry, was also developed.
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spelling Carniel, Anderson ChavesCiferri, Ricardo Rodrigueshttp://lattes.cnpq.br/8382221522817502http://lattes.cnpq.br/6350698053529179de9a164a-3b98-4d6b-9824-02c89479447f2016-06-02T19:06:18Z2014-11-142016-06-02T19:06:18Z2014-10-09CARNIEL, Anderson Chaves. Incorporando dados espaciais vagos em data warehouses geográficos: a proposta do tipo abstrato de dados vaguegeometry. 2014. 141 f. Dissertação (Mestrado em Ciências Exatas e da Terra) - Universidade Federal de São Carlos, São Carlos, 2014.https://repositorio.ufscar.br/handle/ufscar/582A data warehouse is a solution for organizing and storing multidimensional data related to decision-making processes in companies, generating a historical, highly voluminous, subject-oriented and nonvolatile database. A geographic data warehouse (GDW) additio¬nally to the conventional data storage (i.e. numeric and alphanumeric data), stores spatial data as attributes in dimension tables or as measures in fact tables, storing data represented by geometries. Points, lines and polygons are examples of spatial data types. While spatial data currently stored in GDWs are crisp, i.e., they have exact location in the space, strict interiors and well-defined boundaries, geographic applications have required the storage of vague spatial data, which have inaccurate location, inexact interiors or uncertain bounda¬ries. This Master s research aims at incorporating vague spatial data to GDWs. More speci¬fically, we propose and implement a new abstract data type (ADT) called VagueGeometry to represent vague spatial data in the Spatial Database Management System (SDBMS) Post- greSQL/PostGIS. The proposal of the ADT VagueGeometry encompasses the issue of phy¬sical storage for vague spatial data, which are complex and can have several disjoint parts. It also focuses on definitions of operations to handle vague spatial objects, such as vague topological predicates and its operators. Experimental evaluations were conducted in order to assess the performance of the ADT VagueGeometry in comparison to available solutions, such as implementation of vague topological predicates utilizing existing operations of the PostGIS. The proposed ADT VagueGeometry shown reductions in query processing with vague topological predicates from 81.63% to 90.34% in spatial databases and reductions from 92.46% a 95.20% in GDW environments. This Master s project, therefore, advances in the state of art in GDWs to study this gap in the literature. Additionally, fuzzy models to represent vague spatial data was also studied, and as a result, a preliminary proposal of a ADT, called as FuzzyGeometry, was also developed.Um data warehouse é uma solução para a organização e o armazenamento de dados mul-tidimensionais relacionados a tomada de decisão estratégica em empresas, constituindo um banco de dados histórico, volumoso, orientado ao assunto e não volátil. Um data warehouse geográfico (DWG) adicionalmente ao armazenamento de dados convencionais (tais como dados numéricos e alfanuméricos), armazena dados espaciais como atributos em tabelas de dimensão ou como medidas em tabelas de fatos, ou seja, armazena dados representados por meio de geometrias. Pontos, linhas e polígonos são exemplos de dados espaciais armazena¬dos. Enquanto estes dados armazenados atualmente em DWGs sao crisp, ou seja, possuem localização, interiores e fronteiras bem definidas, aplicações geográficas tem demandado o armazenamento de dados espaciais vagos, os quais possuem localização, interiores ou fronteiras incertas. Esta pesquisa de mestrado visa incorporar dados espaciais vagos em DWGs. Mais especificamente, foi proposto e implementado um novo tipo abstrato de dados (TAD), denominado VagueGeometry, para representar dados espaciais vagos no Sistema Gerenciador de Banco de Dados (SGBD) PostgreSQL com a extensão espacial PostGIS. A proposta do TAD VagueGeometry engloba a proposta de uma forma de armazenamento interna para os dados espaciais vagos, os quais são complexos e podem possuir diversas partes disjuntas. Isso também inclui a definição de operações para manipular objetos espa¬ciais vagos, tais como os relacionamentos topológicos vagos e seus operadores. Avaliações experimentais foram conduzidas para medir o desempenho do TAD VagueGeometry frente a soluções existentes, tal como a implementação de predicados topológicos vagos reuti¬lizando operações existentes do PostGIS. A proposta do TAD VagueGeometry apresentou reduções no tempo de processamento de predicados topológicos vagos de 81,63% a 90,34% em bancos de dados espaciais e reduções de 92,46% a 95,20% em ambientes de DWG. Este trabalho, portanto, avança no estado da arte em DWGs de forma a preencher essa lacuna existente na literatura. Adicionalmente, modelos fuzzy para representação dos dados espa¬ciais vagos também foram estudados e uma proposta preliminar de um TAD, denominado FuzzyGeometry, também foi desenvolvida.Universidade Federal de Minas Geraisapplication/pdfporUniversidade Federal de São CarlosPrograma de Pós-Graduação em Ciência da Computação - PPGCCUFSCarBRBanco de dadosData warehouseDados espaciais vagosTipos abstratos de dados (Computação)Data warehouseGeographic data warehouseVague spatial dataAsbtract data typeCIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAOIncorporando dados espaciais vagos em data warehouses geográficos: a proposta do tipo abstrato de dados vaguegeometryinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesis-1-13b1d5172-8bf0-4d0b-8777-ab82599bbf09info:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFSCARinstname:Universidade Federal de São Carlos (UFSCAR)instacron:UFSCARORIGINAL6327.pdfapplication/pdf10668384https://repositorio.ufscar.br/bitstream/ufscar/582/1/6327.pdf806ac414d43596c366d93b4bfc0febe0MD51TEXT6327.pdf.txt6327.pdf.txtExtracted texttext/plain0https://repositorio.ufscar.br/bitstream/ufscar/582/2/6327.pdf.txtd41d8cd98f00b204e9800998ecf8427eMD52THUMBNAIL6327.pdf.jpg6327.pdf.jpgIM Thumbnailimage/jpeg11457https://repositorio.ufscar.br/bitstream/ufscar/582/3/6327.pdf.jpg152c804cd456864e59afc1162cea6a17MD53ufscar/5822023-09-18 18:31:27.214oai:repositorio.ufscar.br:ufscar/582Repositório InstitucionalPUBhttps://repositorio.ufscar.br/oai/requestopendoar:43222023-09-18T18:31:27Repositório Institucional da UFSCAR - Universidade Federal de São Carlos (UFSCAR)false
dc.title.por.fl_str_mv Incorporando dados espaciais vagos em data warehouses geográficos: a proposta do tipo abstrato de dados vaguegeometry
title Incorporando dados espaciais vagos em data warehouses geográficos: a proposta do tipo abstrato de dados vaguegeometry
spellingShingle Incorporando dados espaciais vagos em data warehouses geográficos: a proposta do tipo abstrato de dados vaguegeometry
Carniel, Anderson Chaves
Banco de dados
Data warehouse
Dados espaciais vagos
Tipos abstratos de dados (Computação)
Data warehouse
Geographic data warehouse
Vague spatial data
Asbtract data type
CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
title_short Incorporando dados espaciais vagos em data warehouses geográficos: a proposta do tipo abstrato de dados vaguegeometry
title_full Incorporando dados espaciais vagos em data warehouses geográficos: a proposta do tipo abstrato de dados vaguegeometry
title_fullStr Incorporando dados espaciais vagos em data warehouses geográficos: a proposta do tipo abstrato de dados vaguegeometry
title_full_unstemmed Incorporando dados espaciais vagos em data warehouses geográficos: a proposta do tipo abstrato de dados vaguegeometry
title_sort Incorporando dados espaciais vagos em data warehouses geográficos: a proposta do tipo abstrato de dados vaguegeometry
author Carniel, Anderson Chaves
author_facet Carniel, Anderson Chaves
author_role author
dc.contributor.authorlattes.por.fl_str_mv http://lattes.cnpq.br/6350698053529179
dc.contributor.author.fl_str_mv Carniel, Anderson Chaves
dc.contributor.advisor1.fl_str_mv Ciferri, Ricardo Rodrigues
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/8382221522817502
dc.contributor.authorID.fl_str_mv de9a164a-3b98-4d6b-9824-02c89479447f
contributor_str_mv Ciferri, Ricardo Rodrigues
dc.subject.por.fl_str_mv Banco de dados
Data warehouse
Dados espaciais vagos
Tipos abstratos de dados (Computação)
topic Banco de dados
Data warehouse
Dados espaciais vagos
Tipos abstratos de dados (Computação)
Data warehouse
Geographic data warehouse
Vague spatial data
Asbtract data type
CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
dc.subject.eng.fl_str_mv Data warehouse
Geographic data warehouse
Vague spatial data
Asbtract data type
dc.subject.cnpq.fl_str_mv CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
description A data warehouse is a solution for organizing and storing multidimensional data related to decision-making processes in companies, generating a historical, highly voluminous, subject-oriented and nonvolatile database. A geographic data warehouse (GDW) additio¬nally to the conventional data storage (i.e. numeric and alphanumeric data), stores spatial data as attributes in dimension tables or as measures in fact tables, storing data represented by geometries. Points, lines and polygons are examples of spatial data types. While spatial data currently stored in GDWs are crisp, i.e., they have exact location in the space, strict interiors and well-defined boundaries, geographic applications have required the storage of vague spatial data, which have inaccurate location, inexact interiors or uncertain bounda¬ries. This Master s research aims at incorporating vague spatial data to GDWs. More speci¬fically, we propose and implement a new abstract data type (ADT) called VagueGeometry to represent vague spatial data in the Spatial Database Management System (SDBMS) Post- greSQL/PostGIS. The proposal of the ADT VagueGeometry encompasses the issue of phy¬sical storage for vague spatial data, which are complex and can have several disjoint parts. It also focuses on definitions of operations to handle vague spatial objects, such as vague topological predicates and its operators. Experimental evaluations were conducted in order to assess the performance of the ADT VagueGeometry in comparison to available solutions, such as implementation of vague topological predicates utilizing existing operations of the PostGIS. The proposed ADT VagueGeometry shown reductions in query processing with vague topological predicates from 81.63% to 90.34% in spatial databases and reductions from 92.46% a 95.20% in GDW environments. This Master s project, therefore, advances in the state of art in GDWs to study this gap in the literature. Additionally, fuzzy models to represent vague spatial data was also studied, and as a result, a preliminary proposal of a ADT, called as FuzzyGeometry, was also developed.
publishDate 2014
dc.date.available.fl_str_mv 2014-11-14
2016-06-02T19:06:18Z
dc.date.issued.fl_str_mv 2014-10-09
dc.date.accessioned.fl_str_mv 2016-06-02T19:06:18Z
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dc.identifier.citation.fl_str_mv CARNIEL, Anderson Chaves. Incorporando dados espaciais vagos em data warehouses geográficos: a proposta do tipo abstrato de dados vaguegeometry. 2014. 141 f. Dissertação (Mestrado em Ciências Exatas e da Terra) - Universidade Federal de São Carlos, São Carlos, 2014.
dc.identifier.uri.fl_str_mv https://repositorio.ufscar.br/handle/ufscar/582
identifier_str_mv CARNIEL, Anderson Chaves. Incorporando dados espaciais vagos em data warehouses geográficos: a proposta do tipo abstrato de dados vaguegeometry. 2014. 141 f. Dissertação (Mestrado em Ciências Exatas e da Terra) - Universidade Federal de São Carlos, São Carlos, 2014.
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