Embedding Expert Knowledge and Hypothetical Data Bases into a Data Base System.

Abstract

This paper is concerned with adding knowledge to a data base management system and suggests two appropriate mechanisms, namely hypothetical data bases (HDB's) and experts. Herein we indicate the need for HDB's and define the extensions that are needed to a data base system to support HDB's. In addition, we suggest that the notion of 'experts' is an appropriate way to add semantic knowledge to a data base system. Unlike most other proposals which extend an underlying data model to capture more meaning, our proposal does not require extensions to the schema. Moreover, the DBMS does not even have to know how an expert functions. In this paper we define an expert and indicate how it would be added to one existing data base system. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Apr 14, 1980
Accession Number
ADA105515

Entities

People

  • K. Keller
  • M. Stonebraker

Organizations

  • University of California, Berkeley

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Application Software
  • Bering Sea
  • California
  • Computer Programming
  • Computers
  • Database Management Systems
  • Databases
  • Employee Relations
  • Geography
  • Language
  • Natural Languages
  • Operating Systems
  • Relational Database Management Systems
  • Relational Databases
  • Simulations
  • Trees (Data Structures)
  • Universities

Fields of Study

  • Computer science

Readers

  • Database Systems and Applications
  • Educational Psychology
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.