Index selection engine for spatial database system

The latest mobile Geographical Information System (GIS) technology is useful to manage spatial components of various daily business projects in corporate databases. It is important to apply proper geographical analysis efficiently in a wireless application. However, one of the problems of wireless i...

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Main Author: Sardadi, Maruto Masserie
Format: Thesis
Language:English
Published: 2010
Subjects:
Online Access:http://eprints.utm.my/id/eprint/16472/5/MarutoMasserieSardadiiMFSKSM2010.pdf
http://eprints.utm.my/id/eprint/16472/
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Institution: Universiti Teknologi Malaysia
Language: English
id my.utm.16472
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spelling my.utm.164722017-09-20T07:46:03Z http://eprints.utm.my/id/eprint/16472/ Index selection engine for spatial database system Sardadi, Maruto Masserie QA75 Electronic computers. Computer science The latest mobile Geographical Information System (GIS) technology is useful to manage spatial components of various daily business projects in corporate databases. It is important to apply proper geographical analysis efficiently in a wireless application. However, one of the problems of wireless internet is system bottlenecks that can slow down data processing in Mobile GIS. Spatial data indexing is one of the methods to speed up spatial queries. The existing spatial data indexing can only change the index used. However, an indexing method is only better for some ranges of data and conditions. The objective of this research is to speed up access to spatial database system by using spatial index selection engine. This research introduces an index selection engine for spatial database system for every condition and range of data, on top of the basic index structure. The index selection engine, which is called QuadRtree Selection engine, uses a rule-based Knowledge Base Expert System (KBES) to select between R-tree and Quadtree spatial data indices. These spatial data indexing methods are the best spatial data indexing methods among many other existing spatial index methods for low-dimensional spatial data which have different advantages and disadvantages based on the condition of spatial data. The result of using the proposed method can save time up to 42.5% compared to not using this method. 2010-08 Thesis NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/16472/5/MarutoMasserieSardadiiMFSKSM2010.pdf Sardadi, Maruto Masserie (2010) Index selection engine for spatial database system. Masters thesis, Universiti Teknologi Malaysia, Faculty of Computer Science and Information System. http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:69243?site_name=Restricted Repository
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Sardadi, Maruto Masserie
Index selection engine for spatial database system
description The latest mobile Geographical Information System (GIS) technology is useful to manage spatial components of various daily business projects in corporate databases. It is important to apply proper geographical analysis efficiently in a wireless application. However, one of the problems of wireless internet is system bottlenecks that can slow down data processing in Mobile GIS. Spatial data indexing is one of the methods to speed up spatial queries. The existing spatial data indexing can only change the index used. However, an indexing method is only better for some ranges of data and conditions. The objective of this research is to speed up access to spatial database system by using spatial index selection engine. This research introduces an index selection engine for spatial database system for every condition and range of data, on top of the basic index structure. The index selection engine, which is called QuadRtree Selection engine, uses a rule-based Knowledge Base Expert System (KBES) to select between R-tree and Quadtree spatial data indices. These spatial data indexing methods are the best spatial data indexing methods among many other existing spatial index methods for low-dimensional spatial data which have different advantages and disadvantages based on the condition of spatial data. The result of using the proposed method can save time up to 42.5% compared to not using this method.
format Thesis
author Sardadi, Maruto Masserie
author_facet Sardadi, Maruto Masserie
author_sort Sardadi, Maruto Masserie
title Index selection engine for spatial database system
title_short Index selection engine for spatial database system
title_full Index selection engine for spatial database system
title_fullStr Index selection engine for spatial database system
title_full_unstemmed Index selection engine for spatial database system
title_sort index selection engine for spatial database system
publishDate 2010
url http://eprints.utm.my/id/eprint/16472/5/MarutoMasserieSardadiiMFSKSM2010.pdf
http://eprints.utm.my/id/eprint/16472/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:69243?site_name=Restricted Repository
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