A Warehousing Approach to Data and Knowledge Integration

Abstract

The topic of data warehousing encompasses architectures, algorithms, and tools for bringing together selected data from multiple databases or other information sources into a repository, called a data warehouse, suitable for direct querying or analysis. The objective of this effort was to provide a mechanism for rapidly and effectively integrating data and knowledge from multiple, diverse, information sources, and to provide a simple way for clients to locate, retrieve, and exploit the relevant integration information quickly and efficiently. Within this effort the goals were to develop the specification languages, algorithms, and techniques necessary to realize a warehousing approach to data and knowledge integration, to demonstrate the techniques in a software prototype, and to validate the utility of the approach with a suite of sample applications.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1997
Accession Number
ADA329436

Entities

People

  • Jennifer Widom

Organizations

  • Stanford University

Tags

Communities of Interest

  • C4I
  • Human Systems

DTIC Thesaurus Topics

  • Algorithms
  • Change Detection
  • Data Integration
  • Data Warehousing
  • Databases
  • Graphical User Interface
  • Information Processing
  • Information Science
  • Information Systems
  • Language
  • Models
  • Prototypes
  • Relational Database Management Systems
  • Relational Databases
  • Specifications
  • Standards
  • Test And Evaluation

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Computer Science.
  • Organizational Process Management (OPM).