Object-relational Features for Modeling and Analysis of Spatio-temporal Data

The age of discovery, description, and classification of biodiversity is entering a new phase. In responding to the importance and uses of the large number of biodiversity data of Malaysia make it essential for their biodiversity to be conserved. In order to manage large number of biodiversity data,...

Full description

Bibliographic Details
Main Authors: Kamruzzaman, A. Z. M, Wahid, Mohd. Taib
Format: Conference or Workshop Item
Language:English
Published: 2006
Subjects:
Online Access:http://eprints.utm.my/3341/
http://eprints.utm.my/3341/1/Object-relational_Features_for_modeling_and_analysis_of_Spatio-temporal.pdf
_version_ 1848890550046949376
author Kamruzzaman, A. Z. M
Wahid, Mohd. Taib
author_facet Kamruzzaman, A. Z. M
Wahid, Mohd. Taib
author_sort Kamruzzaman, A. Z. M
building UTeM Institutional Repository
collection Online Access
description The age of discovery, description, and classification of biodiversity is entering a new phase. In responding to the importance and uses of the large number of biodiversity data of Malaysia make it essential for their biodiversity to be conserved. In order to manage large number of biodiversity data, it is essential to develop a data model which is a new integrated and support spatio-temporal data. Recently, we propose a conceptual spatio-temporal objectrelational biodiversity data model and which is being tested with Malaysian biodiversity data and has been loaded to oracle database. The main objectives of this paper are new aspects of using object-relational feature of the underlying database management system Oracle to improve the extensibility and flexibility of data models, enhance interoperability and analyzing potential as well as to ensure consistency by defining standards based on abstract data types. The object-relational extension of data models can be combined with data pyramid framework techniques to analyze present, past and future data. In addition to this, by using this model forest department, researchers, as well as natural recourses will be helpful.
first_indexed 2025-11-15T20:43:51Z
format Conference or Workshop Item
id utm-3341
institution Universiti Teknologi Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T20:43:51Z
publishDate 2006
recordtype eprints
repository_type Digital Repository
spelling utm-33412017-08-27T00:41:25Z http://eprints.utm.my/3341/ Object-relational Features for Modeling and Analysis of Spatio-temporal Data Kamruzzaman, A. Z. M Wahid, Mohd. Taib QA75 Electronic computers. Computer science The age of discovery, description, and classification of biodiversity is entering a new phase. In responding to the importance and uses of the large number of biodiversity data of Malaysia make it essential for their biodiversity to be conserved. In order to manage large number of biodiversity data, it is essential to develop a data model which is a new integrated and support spatio-temporal data. Recently, we propose a conceptual spatio-temporal objectrelational biodiversity data model and which is being tested with Malaysian biodiversity data and has been loaded to oracle database. The main objectives of this paper are new aspects of using object-relational feature of the underlying database management system Oracle to improve the extensibility and flexibility of data models, enhance interoperability and analyzing potential as well as to ensure consistency by defining standards based on abstract data types. The object-relational extension of data models can be combined with data pyramid framework techniques to analyze present, past and future data. In addition to this, by using this model forest department, researchers, as well as natural recourses will be helpful. 2006-05 Conference or Workshop Item NonPeerReviewed application/pdf en http://eprints.utm.my/3341/1/Object-relational_Features_for_modeling_and_analysis_of_Spatio-temporal.pdf Kamruzzaman, A. Z. M and Wahid, Mohd. Taib (2006) Object-relational Features for Modeling and Analysis of Spatio-temporal Data. In: Postgraduate Annual Research Seminar 2006 (PARS 2006), 24 - 25 Mei 2006, Postgraduate Studies Department FSKSM, UTM Skudai.
spellingShingle QA75 Electronic computers. Computer science
Kamruzzaman, A. Z. M
Wahid, Mohd. Taib
Object-relational Features for Modeling and Analysis of Spatio-temporal Data
title Object-relational Features for Modeling and Analysis of Spatio-temporal Data
title_full Object-relational Features for Modeling and Analysis of Spatio-temporal Data
title_fullStr Object-relational Features for Modeling and Analysis of Spatio-temporal Data
title_full_unstemmed Object-relational Features for Modeling and Analysis of Spatio-temporal Data
title_short Object-relational Features for Modeling and Analysis of Spatio-temporal Data
title_sort object-relational features for modeling and analysis of spatio-temporal data
topic QA75 Electronic computers. Computer science
url http://eprints.utm.my/3341/
http://eprints.utm.my/3341/1/Object-relational_Features_for_modeling_and_analysis_of_Spatio-temporal.pdf