Current experimental systems in industry, government, and the military take advantage of knowledge-based processing. Currently, knowledge-based system technology lacks the means to provide efficient and robust knowledge bases, while database system technology lacks knowledge representation and reasoning capabilities.

I: Knowledge Base Management Systems.- 1. On Knowledge Base Management Systems.- 2. The Knowledge Level of KBMS.- 3. Knowledge Level Interfaces to Information Systems.- 4. On Knowledge-Based Systems Architectures.- Discussion.- II: Knowledge Bases Versus Databases.- 5. A View Of Knowledge Representation.- 6. AI Knowledge Bases and Databases.- 7. Knowledge versus Data.- 8. Knowledge Bases versus Databases.- 9. Knowledge-Based and Database Systems: Enhancements, Coupling or Integration?.- Discussion.- III: Retrieval/Interface/Reasoning.- 10. Inference: A Somewhat Skewed Survey.- 11. Current Trends in Database Query Processing: A Survey.- 12. Logic and Database Systems.- 13. Negation in Knowledge Base Management Systems.- 14. An Approach to Processing Queries in a Logic-Based Query Language.- 15. Naive Evaluation of Recursively Defined Relations.- 16. Knowledge Base Retrieval.- Discussion.- IV: Extending Database Management Systems.- 17. Database Management: A Survey.- 18. Logic and Database Systems: A Survey.- 19. PROBE: A Knowledge-Oriented Database Management System.- 20. Learning Improved Integrity Constraints and Schemas From Exceptions in Databases and Knowledge Bases.- 21. Organizing a Design Database Across Time.- 22. Triggers and Inference in Database Systems.- 23. Extensible Database Systems.- Discussion.- V: Extending Knowledge-Based Systems.- 24. Knowledge-Based Systems: A Survey.- 25. Natural Language Processing: A Survey.- 26. Questions, Answers, and Responses: Interacting With Knowledge Base Systems.- 27. Learning in Knowledge Base Management Systems.- 28. The Role of Databases in Knowledge-Based Systems.- 29. An Integration of Knowledge and Data Representation.- Discussion.- VI: Knowledge-Based System Design Issues.- 30. Context Structures/Versioning: A Survey.- 31. Survey of Conceptual Modeling of Information Systems.- 32. A Requirements Modeling Language and Its Logic.- 33. Languages for Knowledge Bases.- 34. Control of Search and Knowledge Acquisition in Large-Scale KBMS.- Discussion.- VII: Advanced Hardware for Knowledge-Based Systems.- 35. New Computer Architectures: A Survey.- 36. The Role of Massive Memory in Knowledge Base Management Systems.- 37. Parallel Computers for AI Databases.- Discussion.- Epilogue.- 38. Concluding Remarks from the Artificial Intelligence Perspective.- 39. Concluding Remarks from the Database Perspective.- 40. Large-Scale Knowledge-Based Systems: Concluding Remarks and Technological Challenges.- Contributors’ Addresses.- References.

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