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What is DDL (Data Definition Language)

Handbook of Research on Fuzzy Information Processing in Databases
The statements of this language enable the creation and modification of the structures in which the data will be stored. Examples of DDL statements are: CREATE (to create objects of the database: tables, views, etc.), DROP (to remove objects), ALTER (to modify objects), and statements for security controls, indexes, and for the control of the physical storage of the data.
Published in Chapter:
FSQL and SQLf: Towards a Standard in Fuzzy Databases
Angélica Urrutia (Universidad Católica del Maule, Chile), Leonid Tineo (Universidad Simón Bolivar, Venezuela), and Claudia Gonzalez (Universidad Simón Bolivar, Venezuela)
Copyright: © 2008 |Pages: 29
DOI: 10.4018/978-1-59904-853-6.ch011
Abstract
Actually, FSQL and SQLf are the main fuzzy logic based proposed extensions to SQL. It would be very interesting to integrate them with a standard for fuzzy databases. The issue is what to take from one or other proposal. In this chapter, we analyze FSQL and SQLf making a comparison in several ways: approach direction, fuzzy components, system architecture, satisfaction degree, evaluation mechanisms, and experimental performance. We observe that there are powerful and interesting features in both proposals that could be mixed in a unified language for fuzzy relational databases.
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