Title
Simulation results for an adaptable attribute replication mechanism to support inheritance in large knowledge bases
Abbreviated Journal Title
Simulation
Keywords
intelligent information systems; knowledge-base systems; inheritance; systems; attribute replication; controlled and adaptable attribute; search; CAAS; Computer Science, Interdisciplinary Applications; Computer Science, ; Software Engineering
Abstract
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 system and a secondary storage subsystem. In order to support inheritance on a large knowledge base efficiently, we have designed a new strategy called controled 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.
Journal Title
Simulation
Volume
73
Issue/Number
3
Publication Date
1-1-1999
Document Type
Article
Language
English
First Page
149
Last Page
158
WOS Identifier
ISSN
0037-5497
Recommended Citation
"Simulation results for an adaptable attribute replication mechanism to support inheritance in large knowledge bases" (1999). Faculty Bibliography 1990s. 2824.
https://stars.library.ucf.edu/facultybib1990/2824
Comments
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