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Database‐driven Web sites: a case study with software in biotechnology and bioengineering

Database‐driven Web sites: a case study with software in biotechnology and bioengineering The problems with cataloguing and categorising heterogeneous resources on the World Wide Web for retrieving precise information are discussed. By providing a database approach to the Web site, these problems can be solved to some extent. The design is done for software in biotechnology and bioengineering. The data about bio software on the Web are collected and arranged in a generalised standard format. These are loaded on to a MYSQL database and are accessed through Practical Extraction and Reporting Language (PERL) script. An attempt has also been made to study the search and memory allocation performance for the following databases: MYSQL, World Wide Web Integrated Set Of Information System (WWWISIS), and Managing Gigabytes (MG). http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png The Electronic Library Emerald Publishing

Database‐driven Web sites: a case study with software in biotechnology and bioengineering

Shivarama Rao
The Electronic Library , Volume 22 (4): 5 – Aug 1, 2004
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Publisher
Emerald Publishing
Copyright
Copyright © 2004 Emerald Group Publishing Limited. All rights reserved.
ISSN
0264-0473
DOI
10.1108/02640470410552992
Publisher site
See Article on Publisher Site

Abstract

The problems with cataloguing and categorising heterogeneous resources on the World Wide Web for retrieving precise information are discussed. By providing a database approach to the Web site, these problems can be solved to some extent. The design is done for software in biotechnology and bioengineering. The data about bio software on the Web are collected and arranged in a generalised standard format. These are loaded on to a MYSQL database and are accessed through Practical Extraction and Reporting Language (PERL) script. An attempt has also been made to study the search and memory allocation performance for the following databases: MYSQL, World Wide Web Integrated Set Of Information System (WWWISIS), and Managing Gigabytes (MG).

Journal

The Electronic Library – Emerald Publishing

Published: Aug 1, 2004

Keywords: Relational databases; Indexing; Databases; Biotechnology

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