Articles liés à Foundations of Knowledge Base Management: Contributions...
Foundations of Knowledge Base Management: Contributions from Logic, Databases, and Artificial Intelligence Applications - Couverture souple
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Synopsis
Series Description.- Preface.- I. Logic and Knowledge Representation.- 1. The Role of Logic for Data and Knowledge Bases: A Brief Survey.- Discussion.- 2. A Logic-Based Calculus of Events.- Discussion.- 3. Metalanguage and Databases.- Discussion.- 4. Efficient Representation of Incomplete Information About Structured Objects.- 5. Abstraction and Inference Mechanisms for Knowledge Representation.- Discussion.- II. From Data to Facts and Rules.- 6. How To Look at Deductive Databases.- Discussion.- 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.- Discussion.- III. Architectural Issues in Data and Knowledge Base Integration.- 10. Database Management: A Survey.- Discussion.- 11. Towards Databases for Knowledge Representation.- Discussion.- 12. Large-Scale Knowledge Systems.- 13. Issues in Data Base and Knowledge Base Integration.- Discussion.- 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.- Discussion.- 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.- Discussion.- 19. The Software Development Environment as a Knowledge Base Management System.- Discussion.- 20. Retrieving Events from Geometrical Descriptions of Time-Varying Scenes.- 21. A Deductive Solution for Plan Generation.- Discussion.- V. Concluding Remarks.- 22. The Limitations of Logic and Its Role in Artificial Intelligence.- Discussion.- 23. The Need for a Knowledge Representation Framework.- 24. DB Ideas for KBMS.- Comments.- 25. On Application-Oriented and Tool-Oriented Theories.- Discussion.- Final Discussion.- References.- Contributors.
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