Overview

The growing demand for systems of ever-increasing complexity and precision has stimulated the need for higher level concepts, tools, and techniques in every area of Computer Science. Some of these areas, in particular Artificial Intelligence, Databases, and Programming Lan­ guages, are attempting to meet this demand by defining a new, more abstract level of system description. We call this new level conceptual in recognition of its basic conceptual nature. In Artificial Intelligence, the problem of designing an expert system is seen primarily as a problem of building a knowledge base that repre­ sents knowledge about an enterprise. Consequently, Knowledge Repre­ sentation is viewed as a central issue in Artificial Intelligence research. Database design methodologies developed during the last five years are almost unanimous in offering semantic data models in terms of which the designer directly and naturally models an enterprise before proceed­ ing to a detailed logical and physical database design. In Programming Languages, different forms of abstraction which allow implementation­ independent specifications of data, functions, and control have been a major research theme for a decade. To emphasize the common goals of these three research efforts, we call this new activity conceptual modelling.

Full Product Details

Author:   M.L. Brodie ,  J. Mylopoulos ,  J.W. Schmidt
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of the original 1st ed. 1984
Dimensions:   Width: 15.50cm , Height: 2.70cm , Length: 23.50cm
Weight:   0.791kg
ISBN:  

9781461297321

ISBN 10:   146129732
Pages:   510
Publication Date:   03 October 2011
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

I: Artificial Intelligence, Database, and Programming Language Overviews.- 1. An Overview of Knowledge Representation.- 2. On the Development of Data Models.- 3. The Impact of Modelling and Abstraction Concerns on Modern Programming Languages.- II: Perspectives from Artificial Intelligence.- 4. Generalization/Specialization as a Basis for Software Specification.- 5. Some Remarks on the Semantics of Representation Languages.- 6. Open Systems.- 7. The Logic of Incomplete Knowledge Bases.- 8. Towards a Logical Reconstruction of Relational Database Theory.- 9. A Formal Representation for Plans in the Programmer’s Apprentice.- III: Perspectives from Databases.- 10. On the Design and Specification of Database Transactions.- 11. A Unified Model and Methodology for Conceptual Database Design.- 12. Adding Semantic Knowledge to a Relational Database System.- IV: Perspectives from Programming Languages.- 13. The Functional Data Model and its Uses for Interaction with Databases.- 14. Types in the Programming Language Ada.- 15. Data Selection, Sharing, and Access Control in a Relational Scenario.- 16. Types, Algebras and Modelling.- V: Concluding Remarks from Three Perspectives.- 17. An Artificial Intelligence Perspective.- 18. A Database Perspective.- 19. A Programming Language Perspective.- References.- Authors and Symposium Participants.

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