intelligent Databases
Module: Intelligent Databases (IDB)
Master title: Master in Artificial Intelligence and Decision Making (MIAD)
Semester : S1 Title of EU Fundamentals 1: Information Engineering
Subject Title : Intelligent Databases Credits : 04 Coefficients : 02
Teaching objectives
Learning the basic concepts for optimising relational queries, knowing how to make objects manipulated by object languages persistent, knowing the various possibilities, their advantages and disadvantages. Get an overview of different types of advanced databases. Know what business intelligence is, its concepts and applications.
Recommended prior knowledge
Knowledge acquired in the module on databases (bachelor's degree in computer science).
Content of the course :
I. Extended relational
1. Extended relational objective
2. Deficiencies
3. Examples (Ingres, Postgres, Oracle, SQL Server, etc.)
II. Object-oriented databases
1. BDOO characteristics.
2. OO DBMS.
3. OO model architecture (OQL, ODL,OML,....).
4. O2 example.
III. Multimedia databases
1. Multimedia DB requirements.
2. Multimedia data types.
3. Characteristics.
4. Some applications.
IV. Format conversion (Mapping)
1. Object - Relational.
2. XML - Relational.
V. Deductive databases