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

Abstract

This paper studies the implications of database(DB) integration research for knowledge base (KB)integration. 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.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1988
Accession Number
ADA209891

Entities

People

  • Jintae Lee

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Computer Science
  • Computers
  • Contracts
  • Databases
  • Dictionaries
  • Information Systems
  • Knowledge Based Systems
  • Language
  • Maintenance
  • Maintenance Costs
  • Models
  • Ontologies
  • Semantic Models
  • Software Development
  • Taxonomy
  • Translations

Readers

  • Defense Acquisition Program Management
  • Gender and Food Studies
  • Systems Analysis and Design