Produktbild: Foundations of Knowledge Base Management

Foundations of Knowledge Base Management Contributions from Logic, Databases, and Artificial Intelligence Applications

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

16.01.2012

Abbildungen

XIV, 579 p.

Herausgeber

Joachim W. Schmidt + weitere

Verlag

Springer Berlin

Seitenzahl

579

Maße (L/B/H)

23,5/15,5/3,2 cm

Gewicht

890 g

Auflage

Softcover reprint of the original 1st ed. 1989

Sprache

Englisch

ISBN

978-3-642-83399-1

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

16.01.2012

Abbildungen

XIV, 579 p.

Herausgeber

Verlag

Springer Berlin

Seitenzahl

579

Maße (L/B/H)

23,5/15,5/3,2 cm

Gewicht

890 g

Auflage

Softcover reprint of the original 1st ed. 1989

Sprache

Englisch

ISBN

978-3-642-83399-1

Herstelleradresse

Springer-Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

Email: ProductSafety@springernature.com

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  • Produktbild: Foundations of Knowledge Base Management
  • Series Description.- Preface.- I. Logic and Knowledge Representation.- 1. The Role of Logic for Data and Knowledge Bases: A Brief Survey.- 2. A Logic-Based Calculus of Events.- 3. Metalanguage and Databases.- 4. Efficient Representation of Incomplete Information About Structured Objects.- 5. Abstraction and Inference Mechanisms for Knowledge Representation.- II. From Data to Facts and Rules.- 6. How To Look at Deductive Databases.- 7. Extending a Relational DBMS Towards a Rule-Based System: An Approach Using Predicate Transition Nets.- 8. Integrated Fact and Rule Management Based on Relational Technology.- 9. Adding a Closure Operator to the Extended Relational Algebra: A Further Step Towards the Integration of Database Techniques and Logic Programming.- III. Architectural Issues in Data and Knowledge Base Integration.- 10. Database Management: A Survey.- 11. Towards Databases for Knowledge Representation.- 12. Large-Scale Knowledge Systems.- 13. Issues in Data Base and Knowledge Base Integration.- 14. Design of a Compiler for a Semantic Data Model.- 15. Two-Mode Evaluation for Dealing with Implicit Interactions Between Logic Programs and Relational Data Bases.- 16. Knowledge Base Management Systems: A Database View.- IV. Knowledge Base Management for AI Applications.- 17. KBMS Requirements of Knowledge-Based Systems.- 18. Conceptual Languages: A Comparison of ADAPLEX, Galileo, and Taxis.- 19. The Software Development Environment as a Knowledge Base Management System.- 20. Retrieving Events from Geometrical Descriptions of Time-Varying Scenes.- 21. A Deductive Solution for Plan Generation.- V. Concluding Remarks.- 22. The Limitations of Logic and Its Role in Artificial Intelligence.- 23. The Need for a Knowledge Representation Framework.- 24. DB Ideas for KBMS.- 25. OnApplication-Oriented and Tool-Oriented Theories.- Final Discussion.- References.- Contributors.