A Framework for Classifying and Resolving Semantic Heterogeneity in Object-Oriented Databases

Abstract

During the past three decades, many organizations have seen a dramatic proliferation of a variety of information systems. Organizations soon discovered the need to access and share data across these different information systems. Under current technology, this integration is usually not possible due to the heterogeneity of information systems. One level of heterogeneity is that of semantics. The objective of this thesis is to build a framework for enumerating, classifying, and resolving the types of semantic heterogeneity that could exist in an object-oriented database model. The framework covers both schema and data content conflicts. The schema conflicts are classified broadly by the level at which they occur. The primary data conflicts covered include inconsistencies and different representations for the same data.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1992
Accession Number
ADA257597

Entities

People

  • Michael T. Bourque

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Classified Materials
  • Computer Languages
  • Computer Programming
  • Computers
  • Data Processing
  • Database Management Systems
  • Databases
  • Department Of Defense
  • Enlisted Personnel
  • Information Systems
  • Language
  • Operating Systems
  • Programming Languages
  • Relational Database Management Systems
  • Semantics
  • Two Dimensional

Fields of Study

  • Computer science

Readers

  • Computational Linguistics
  • Regression Analysis.
  • Software Engineering.