Title

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

Keywords

Attribute replication; CAAS; Controlled and adaptable attribute search; Inheritance systems; Intelligent information systems; Knowledge-base systems

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 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. © 1999, Simulation Councils, Inc.

Publication Date

1-1-1999

Publication Title

Simulation

Volume

73

Issue

3

Number of Pages

149-158

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1177/003754979907300302

Socpus ID

24044539593 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/24044539593

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