Conceptual Level Design of Object Oriented Data Warehouse: Graph Semantic Based Model
Autor(a) principal: | |
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Data de Publicação: | 2009 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | INFOCOMP: Jornal de Ciência da Computação |
Texto Completo: | https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/283 |
Resumo: | This paper proposes a Graph semantic based Object Oriented Multidimensional Data Model (GOOMD). The model defines a set of graph based formal constructs that are used to specify the conceptual level design of data warehouses (DW). Besides offering a novel graph based semantic for multidimensional data representation, the proposed GOOMD model renders a unified realization of different logical structures of DW like star, snowflake, constellation, etc. The proposed simple but powerful algebra for GOOMD provides an efficient operational model for Online Analytical Processing (OLAP) to realize different OLAP operations like roll-up, drill-down, slicing, dicing, drill-across and drill-through. The proposed GOOMD model also supports a formal representation of advanced concepts like parallel hierarchies, many-to-many associations, additivity constraints etc. |
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INFOCOMP: Jornal de Ciência da Computação |
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|
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Conceptual Level Design of Object Oriented Data Warehouse: Graph Semantic Based ModelData warehouse Conceptual modelingMultidimensional data modelGraph data modelObject Oriented Data ModelThis paper proposes a Graph semantic based Object Oriented Multidimensional Data Model (GOOMD). The model defines a set of graph based formal constructs that are used to specify the conceptual level design of data warehouses (DW). Besides offering a novel graph based semantic for multidimensional data representation, the proposed GOOMD model renders a unified realization of different logical structures of DW like star, snowflake, constellation, etc. The proposed simple but powerful algebra for GOOMD provides an efficient operational model for Online Analytical Processing (OLAP) to realize different OLAP operations like roll-up, drill-down, slicing, dicing, drill-across and drill-through. The proposed GOOMD model also supports a formal representation of advanced concepts like parallel hierarchies, many-to-many associations, additivity constraints etc.Editora da UFLA2009-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://infocomp.dcc.ufla.br/index.php/infocomp/article/view/283INFOCOMP Journal of Computer Science; Vol. 8 No. 4 (2009): December, 2009; 60-701982-33631807-4545reponame:INFOCOMP: Jornal de Ciência da Computaçãoinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttps://infocomp.dcc.ufla.br/index.php/infocomp/article/view/283/268Copyright (c) 2016 INFOCOMP Journal of Computer Scienceinfo:eu-repo/semantics/openAccessSarkar, AnirbanChoudhury, SankhayanChaki, NabenduBhattacharya, Swapan2015-07-22T18:26:31Zoai:infocomp.dcc.ufla.br:article/283Revistahttps://infocomp.dcc.ufla.br/index.php/infocompPUBhttps://infocomp.dcc.ufla.br/index.php/infocomp/oaiinfocomp@dcc.ufla.br||apfreire@dcc.ufla.br1982-33631807-4545opendoar:2024-05-21T19:54:29.631951INFOCOMP: Jornal de Ciência da Computação - Universidade Federal de Lavras (UFLA)true |
dc.title.none.fl_str_mv |
Conceptual Level Design of Object Oriented Data Warehouse: Graph Semantic Based Model |
title |
Conceptual Level Design of Object Oriented Data Warehouse: Graph Semantic Based Model |
spellingShingle |
Conceptual Level Design of Object Oriented Data Warehouse: Graph Semantic Based Model Sarkar, Anirban Data warehouse Conceptual modeling Multidimensional data model Graph data model Object Oriented Data Model |
title_short |
Conceptual Level Design of Object Oriented Data Warehouse: Graph Semantic Based Model |
title_full |
Conceptual Level Design of Object Oriented Data Warehouse: Graph Semantic Based Model |
title_fullStr |
Conceptual Level Design of Object Oriented Data Warehouse: Graph Semantic Based Model |
title_full_unstemmed |
Conceptual Level Design of Object Oriented Data Warehouse: Graph Semantic Based Model |
title_sort |
Conceptual Level Design of Object Oriented Data Warehouse: Graph Semantic Based Model |
author |
Sarkar, Anirban |
author_facet |
Sarkar, Anirban Choudhury, Sankhayan Chaki, Nabendu Bhattacharya, Swapan |
author_role |
author |
author2 |
Choudhury, Sankhayan Chaki, Nabendu Bhattacharya, Swapan |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Sarkar, Anirban Choudhury, Sankhayan Chaki, Nabendu Bhattacharya, Swapan |
dc.subject.por.fl_str_mv |
Data warehouse Conceptual modeling Multidimensional data model Graph data model Object Oriented Data Model |
topic |
Data warehouse Conceptual modeling Multidimensional data model Graph data model Object Oriented Data Model |
description |
This paper proposes a Graph semantic based Object Oriented Multidimensional Data Model (GOOMD). The model defines a set of graph based formal constructs that are used to specify the conceptual level design of data warehouses (DW). Besides offering a novel graph based semantic for multidimensional data representation, the proposed GOOMD model renders a unified realization of different logical structures of DW like star, snowflake, constellation, etc. The proposed simple but powerful algebra for GOOMD provides an efficient operational model for Online Analytical Processing (OLAP) to realize different OLAP operations like roll-up, drill-down, slicing, dicing, drill-across and drill-through. The proposed GOOMD model also supports a formal representation of advanced concepts like parallel hierarchies, many-to-many associations, additivity constraints etc. |
publishDate |
2009 |
dc.date.none.fl_str_mv |
2009-12-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/283 |
url |
https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/283 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/283/268 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2016 INFOCOMP Journal of Computer Science info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2016 INFOCOMP Journal of Computer Science |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Editora da UFLA |
publisher.none.fl_str_mv |
Editora da UFLA |
dc.source.none.fl_str_mv |
INFOCOMP Journal of Computer Science; Vol. 8 No. 4 (2009): December, 2009; 60-70 1982-3363 1807-4545 reponame:INFOCOMP: Jornal de Ciência da Computação instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
instname_str |
Universidade Federal de Lavras (UFLA) |
instacron_str |
UFLA |
institution |
UFLA |
reponame_str |
INFOCOMP: Jornal de Ciência da Computação |
collection |
INFOCOMP: Jornal de Ciência da Computação |
repository.name.fl_str_mv |
INFOCOMP: Jornal de Ciência da Computação - Universidade Federal de Lavras (UFLA) |
repository.mail.fl_str_mv |
infocomp@dcc.ufla.br||apfreire@dcc.ufla.br |
_version_ |
1799874740917108736 |