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- W2496173800 abstract "The next generation information systems require access to a large number of simple and complex objects, and inferencing capability is required to utilize such systems in various applications. Current AI and database systems, alone, do not have the capability to handle the demanding requirements of the new and next generation applications. AI systems are strong in reasoning and problem solving but weak in efficiently accessing a large knowledge-base. Database systems are very effective in storage and retrieval of large amount of data, but weak in reasoning. The capabilities of these two areas must be integrated in order to satisfy all information requirements.Snowy-KBMS, a knowledge-base management system, has been designed as (a) a system to support the new application needs which are expected to grow in their required capabilities and the size of knowledge-base, and (b) a platform for investigating various issues that arise as a result of AI and database integration. Snowy-KBMS provides various capabilities such as modification of a dynamically changing knowledge-base and secondary storage representation of a large knowledge-base structure.We have also designed a new strategy, called controlled and adaptable attribute search (CAAS), for efficient knowledge-base access. In this strategy, an inheritable attribute, defined in a concept, is replicated in the concept's subclasses which are HTD (Hierarchy Traversal Distance) concepts away from the concept. This strategy will allow a search for an attribute in superclasses of a concept to terminate after visiting a maximum of HTD concepts in each superclass path of the concept. This is in contrast to the two strategies, no replication and full replication, used by object-oriented and knowledge-representation systems. The degree of replication in CAAS determines space/time efficiency. CAAS allows a knowledge-base manager to make the appropriate adjustments. The CAAS mechanism is not system dependent and can, therefore, be used in other object-oriented and terminological-based systems.We will present the Snowy-KBMS architecture, the CAAS mechanism used to implement inheritance, and the simulation results of the Snowy's infer and insert operations using CAAS." @default.
- W2496173800 created "2016-08-23" @default.
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- W2496173800 date "1994-12-15" @default.
- W2496173800 modified "2023-09-27" @default.
- W2496173800 title "A database design and a controlled and adaptable attribute search mechanism for the KL-snowy terminological knowledge representation language" @default.
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