Accession Number:

ADA209891

Title:

Knowledge Base Integration: What Can We Learn from Database Integration Research

Descriptive Note:

Memorandum rept.

Corporate Author:

MASSACHUSETTS INST OF TECH CAMBRIDGE ARTIFICIAL INTELLIGENCE LAB

Personal Author(s):

Report Date:

1988-01-01

Pagination or Media Count:

37.0

Abstract:

This paper studies the implications of databaseDB integration research for knowledge base KBintegration. The issues that arise in DB integration and the solutions that have been proposed are examined in order to draw lessons for KB integration. For that purpose, first the difference between DBs and KBs are characterized. The issues are identified that are relevant to both DB and KB integration. Then three existing approaches to DB integration for dealing with these issues are examined. For each of the approaches. I give a brief description, present the solutions offered to the identified issues, and examine their adequacy for both DB and KB integration. In conclusion, I discuss the lessons that have been learned from this study. Keywords Database integration Knowledge base management Distributed databases Knowledge base integration.

Subject Categories:

  • Information Science

Distribution Statement:

APPROVED FOR PUBLIC RELEASE