©1996-2019 All Rights Reserved. Online
Journal of Bioinformatics . You may not store these pages in any form
except for your own personal use. All other usage or distribution is illegal
under international copyright treaties. Permission to use any of these pages in
any other way besides the before mentioned must
be gained in writing from the publisher. This article is exclusively
copyrighted in its entirety to OJB publications. This article may be copied
once but may not be, reproduced or re-transmitted
without the express permission of the editors. This journal satisfies the refereeing requirements
(DEST) for the Higher Education Research Data Collection (Australia). Linking:To link to this page or
any pages linking to this page you must link directly to this page only here
rather than put up your own page.
OJBTM
Online
Journal of Bioinformatics©
Volume 8 (1):56-60, 2007.
An indigenous integration system for
biodiversity databases
Sarinder KKS1, Lim LHS1,
Dimyati K2, Merican AF1
.
1Institute of Biological Sciences,
Faculty of Science, University of Malaya, 2 Department of Electrical
Engineering, Faculty of Engineering, University of Malaya.
ABSTRACT
Sarinder KKS, Lim LHS, Dimyati K, Merican AF., An Indigenous
Integration System for Biodiversity Databases, Onl J Bioinform, 8 (1): 56-60, 2007. Malaysia’s rich flora and fauna has
put her in the top 20 list in the world. Presently, scientists here have been
venturing into digitization of their biodiversity datasets into relational
databases. Databases can be centralized into a warehouse or distributed which
span multiple geographically separated machines. While centralized data
warehouses are easier to manage and manipulate due their homogeneity, most of
the biodiversity databases are clustered on distributed warehouses, hence
forcing scientists to query multiple remote or local heterogeneous data
sources, integrating manually received data and manipulating it with advanced
data analyzing and visualizing tools. This is mainly due to the preference of
the scientists to have their databases kept and maintained by themselves in
their own labs or offices. However, the access of relevant data, combining data
sources and coping with their distribution and heterogeneity is a tremendously
difficult task. Therefore, in this paper, an approach to overcome these issues
by developing an indigenous system for integrating biodiversity databases on
distributed warehouses is presented. This system allows dissemination and
sharing of biodiversity data while allowing scientists to continue maintaining
and keeping their own databases.
Key words:
Databases, Database
Integration, Biodiversity