Titlebook: On Knowledge Base Management Systems; Integrating Artifici Micheal L. Brodie,John Mylopoulos Book 1986 Springer-Verlag New York Inc. 1986 a

模范

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An Approach To Processing Queries In A Logic-Based Query Languagen make such decisions. They also assist in the development of a theory of optimal strategies for logic processing. This paper surveys some of the known capture rules and suggests how they can be fit together into a system that provides “knowledge processing” with database management.

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Ablation

The Knowledge Level of a KMBSProposals here might involve using locking, parallelism, inheritance hierarchies, backward-chaining inference, database-style management of secondary storage and other mechanisms.. This level deals with how a . views and processes the information in a KB.

指令

Knowledge Level Interfaces to Information Systemsm to tell a KB something about its application domain; and ASK, which allows the system to ask the KB questions about the domain. We also consider some of the important things that can be shown about an information system (a DBMS or a knowledge-base system) once the Knowledge Level description is in hand.

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Negation in Knowledge Base Management Systemsshown that this architecture supports previous work in handling recursive queries in Knowledge Bases; it thus builds upon previous results and provides a coherent and unifying framework for building Knowledge Base Management Systems.

ARBOR

1431-9365 e Advanced Research Projects Agency (DARPA), and the United States Geological Survey (USGS) are supporting the develop­ ment of information systems that contain diverse, vast, and growing repositories of data (e.g., vast databases storing geographic informa­ tion). These systems require powerful rea