Modeling Spatial Data within Object Relational-Databases
Spatial data can refer to elements that help place a certain object in a certain area. These elements are latitude, longitude, points, geometric figures represented by points, etc. However, when translating these elements into data that can be stored in a computer, it all comes down to numbers. The...
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Format: | Article |
Language: | English |
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Bucharest University of Economic Studies
2011-03-01
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Series: | Database Systems Journal |
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Online Access: | http://www.dbjournal.ro/archive/3/4_Botha_Velicanu_Bara.pdf |
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author | Iuliana BOTHA Anda VELICANU Adela BARA |
author_facet | Iuliana BOTHA Anda VELICANU Adela BARA |
author_sort | Iuliana BOTHA |
collection | DOAJ |
description | Spatial data can refer to elements that help place a certain object in a certain area. These elements are latitude, longitude, points, geometric figures represented by points, etc. However, when translating these elements into data that can be stored in a computer, it all comes down to numbers. The interesting part that requires attention is how to memorize them in order to obtain fast and various spatial queries. This part is where the DBMS (Data Base Management System) that contains the database acts in. In this paper, we analyzed and compared two object-relational DBMS that work with spatial data: Oracle and PostgreSQL. |
first_indexed | 2024-03-12T07:17:29Z |
format | Article |
id | doaj.art-b939470728c242fdabf24a582acd09b8 |
institution | Directory Open Access Journal |
issn | 2069-3230 |
language | English |
last_indexed | 2024-03-12T07:17:29Z |
publishDate | 2011-03-01 |
publisher | Bucharest University of Economic Studies |
record_format | Article |
series | Database Systems Journal |
spelling | doaj.art-b939470728c242fdabf24a582acd09b82023-09-02T22:42:31ZengBucharest University of Economic StudiesDatabase Systems Journal2069-32302011-03-01II13342Modeling Spatial Data within Object Relational-DatabasesIuliana BOTHAAnda VELICANUAdela BARASpatial data can refer to elements that help place a certain object in a certain area. These elements are latitude, longitude, points, geometric figures represented by points, etc. However, when translating these elements into data that can be stored in a computer, it all comes down to numbers. The interesting part that requires attention is how to memorize them in order to obtain fast and various spatial queries. This part is where the DBMS (Data Base Management System) that contains the database acts in. In this paper, we analyzed and compared two object-relational DBMS that work with spatial data: Oracle and PostgreSQL.http://www.dbjournal.ro/archive/3/4_Botha_Velicanu_Bara.pdfdatabaseobject-relational databasespatial dataGIS (Geographic Information System)spatial index |
spellingShingle | Iuliana BOTHA Anda VELICANU Adela BARA Modeling Spatial Data within Object Relational-Databases Database Systems Journal database object-relational database spatial data GIS (Geographic Information System) spatial index |
title | Modeling Spatial Data within Object Relational-Databases |
title_full | Modeling Spatial Data within Object Relational-Databases |
title_fullStr | Modeling Spatial Data within Object Relational-Databases |
title_full_unstemmed | Modeling Spatial Data within Object Relational-Databases |
title_short | Modeling Spatial Data within Object Relational-Databases |
title_sort | modeling spatial data within object relational databases |
topic | database object-relational database spatial data GIS (Geographic Information System) spatial index |
url | http://www.dbjournal.ro/archive/3/4_Botha_Velicanu_Bara.pdf |
work_keys_str_mv | AT iulianabotha modelingspatialdatawithinobjectrelationaldatabases AT andavelicanu modelingspatialdatawithinobjectrelationaldatabases AT adelabara modelingspatialdatawithinobjectrelationaldatabases |