Title

Extending a primary-memory-based terminological reasoning system with database capabilities

Keywords

Artificial intelligence; Database systems; Knowledge-based systems; Selective inheritance

Abstract

New applications in engineering, science, and office automation require large knowledge bases and efficient reasoning capabilities. The traditional AI systems lack the means to support large knowledge bases, and the traditional database systems lack the capability for knowledge reasoning. This has resulted in efforts to integrate the capabilities of database and AI systems. This paper discusses how an existing primary-memory-based knowledge representation and comprehension system, known as Snowy, has been extended with database capabilities. The overall architecture of the resulting system, called Snowy-KBMS, is presented. The system design, operations, and an efficient search mechanism are discussed in detail.

Publication Date

12-1-1998

Publication Title

International Journal of Computers and Applications

Volume

20

Issue

2

Number of Pages

61-67

Document Type

Article

Personal Identifier

scopus

Socpus ID

0031617610 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/0031617610

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