Download A Database Management System (DBMS) for Monogenean

A Database Management System (DBMS) for Monogenean Taxonomy
Arpah A.1, Sarinder K. K. S. 1, and L. H. S. Lim1
[email protected]
1
Biodatabase and Informatics Architecture Laboratory (BIAL), Institute of Biological Sciences,
Faculty of Science, University of Malaya, 50603 Kuala Lumpur, Malaysia
The use of databases to store and manage data has become increasingly important in many
fields. A well-designed database system is one of the most important tools for supporting biological
data which includes a variety of different data types. However, in the life sciences field, some
researchers are still using flat files and spreadsheets instead of an appropriate database management
system. One of the main reasons behind this is that many of the present database systems lack of
some functionalities needed by them. At this stage we propose a Database Management System
(DBMS) for Monogenean Taxonomy using a data mining approach. Besides serving the purpose of
storing and managing biological data, the database management system also includes techniques to
support the functionalities which are annotation and attribution management (storage, indexing,
manipulation, and querying). We also propose update authorization to support data accuracy via
content-based approach and pattern matching to support various types of compressed biological data.
The database management system in this paper will be used to build a prototype using Content Based
Image Retrieval (CBIR) for Monogenean Taxonomy.