Description

Book Synopsis
Deductive Databases and their Applications is an introductory text aimed at undergraduate students with some knowledge of database and information systems. The text comes complete with exercises and solutions to encourage students to tackle problems practically as well as theoretically. The author presents the origins of deductive databases in Prologue before proceeding to analyse the main deductive database paradigm - the data-log model. The final chapters are dedicated to closely related topics such as prepositional expert systems, integrity constraint specification and evaluation, and update propagation. Particular attention is paid to CASE tool repositories.

Table of Contents
1. Introduction 2. Summary of Prolog 3. Prolog and Databases 4. Datalog and Bottom-up Evaluation 5. Knowledge Design 6. Building and Knowledge Base 7. Knowledge Quality 8. Magic Sets 9. Unfolding and Folding 10. Propositional Deductive Databases 11. Integrity Constraints 12. Non-monotonic Reasoning

Deductive Databases and Their Applications

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A Paperback / softback by Robert Colomb

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    View other formats and editions of Deductive Databases and Their Applications by Robert Colomb

    Publisher: Taylor & Francis Ltd
    Publication Date: 23/02/1998
    ISBN13: 9780748407972, 978-0748407972
    ISBN10: 0748407979
    Also in:
    Databases / Data management

    Description

    Book Synopsis
    Deductive Databases and their Applications is an introductory text aimed at undergraduate students with some knowledge of database and information systems. The text comes complete with exercises and solutions to encourage students to tackle problems practically as well as theoretically. The author presents the origins of deductive databases in Prologue before proceeding to analyse the main deductive database paradigm - the data-log model. The final chapters are dedicated to closely related topics such as prepositional expert systems, integrity constraint specification and evaluation, and update propagation. Particular attention is paid to CASE tool repositories.

    Table of Contents
    1. Introduction 2. Summary of Prolog 3. Prolog and Databases 4. Datalog and Bottom-up Evaluation 5. Knowledge Design 6. Building and Knowledge Base 7. Knowledge Quality 8. Magic Sets 9. Unfolding and Folding 10. Propositional Deductive Databases 11. Integrity Constraints 12. Non-monotonic Reasoning

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