Authors: Joline Morrison, Kunihiko Higa, Mike Morrison, Olivia R. Liu Sheng
Tags: 1992, conceptual modeling
Databases have evolved into the central component of organizational information systans over the past two decades. However, the typical database lacks the semantic support’needed for exception handling, query optimization, and some update constraints. A knowledge base can provide this for a database; specifically, separatmg abstract knowledge into a knowledge base and facts into a database enhances the maintenance and portability of both and thereby increases their life spans [l, 15, 22]. Advantages of coupled knowledge base/database (KB/DB) systems have been widely recognized by both researchers and practitioners [l, 10, 15, 21, 40]. Unfortunately, large knowledge bases (such as those required to support database semantics) are difficult to develop and maintain because of their limited capacity for handling large amounts of factual data. Our goal is to investigate how to achieve a natural and effective KB/DB coupling.Read the full paper here: https://cacm.acm.org/?mobile=false
