Simulation results for an adaptable attribute replication mechanism to support inheritance in large knowledge bases

    Authors

    A. Salimi; F. Gomez;A. Orooji

    Comments

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    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

    WOS:000082691700002

    ISSN

    0037-5497

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