Simulation Results For An Adaptable Attribute Replication Mechanism To Support Inheritance In Large Knowledge Bases  

Oleh:

Salimi, Aboalfazl ; Gomez, Fernando ; Orooji, Ali

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Simulation vol. 73 no. 3 (Mar. 1997), page 149-158.
Topik: Intelligent information systems; knowledge-base systems; inheritance systems; attribute replication; controlled and adaptable attribute search; CAAS
Fulltext: 149.pdf (1.04MB)

Isi artikel

Snowy-KBMS, a terminological knowledge-base management system, has been designed as an integrated AI and database system to support the new and next-generation applications. The system provides various capabilities such as modification of a dynamically changing knowledge-base and a secondary storage subsystem. In order to support inheritance on a large knowledge base efficiently, we have designed a new strategy called controlled and adaptable attribute search (CAAS). This strategy replicates attributes in the knowledge-base hierarchy to improve the search process. However, attribute replication can be controlled to balance space and time efficiency. This paper presents the CAAS mechanism in detail and the simulation results of replication effects on I/O and space requirements.

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