Introduction to Constraint Databases

This textbook provides students with a course in the theory of databases. It is different from others in that the author presents the subject in the framework of constraint databases which provide a natural and powerful generalization of relational databases. An important theme running through the text is to show how relational databases can smoothly develop into constraint databses and so relational database users can easily become constraint databaseusers. Switching to constraint databases requires sacrificing none of the benefits of relational databses whilst new advantages may be realised. Peter Revesz begins by discussing data models and how queries may be addressed to these models. From this, he develops the theory of relational and constraint databases including Datalog and the relational calculus. The book then discusses three sample constraint database systems, DISCO, DINGO, and RATHER. Advanced undergraduate students and graduate students in computer science will find this a clear introduction to the subject. Professionals and researchers will appreciate this novel perspective on their subject.

A new text/reference presenting the theory and applications of "constraint database" systems, which provide new methods for the design of data models and query languages. Constraint databases bring techniques from a variety of fields, such as logic and model theory, algebraic and computational geometry, as well as symbolic computation, to the design and analysis of data models and query languages.An essential resource for advanced students, practitioners, and professionals in computer science, database systems, and information systems.

Infinite Relational Databases.- Constraint Databases.- Relational Algebra and SQL.- Datalog Queries.- Aggregation and Negation Queries.- Constraint Automata.- Refinement Queries.- Safe Query Languages.- Evaluation of Queries.- Computational Complexity.- Certification.- Implementation Methods.- Spatiotemporal Databases.- Interoperability.- Approximation by Constraints.- Data Visualization.- Indexing.- The MLPQ System.- The DISCO System.- The PReSTO System.- Computer Vision.- Bioinformatics.- Environmental Modeling.