Exploring Schema Similarity at Multiple Resolutions

Abstract

Large, dynamic, and ad-hoc organizations must frequently initiate data integration and sharing efforts with insufficient awareness of how organizational data sources are related. Decision makers need to reason about data model interactions much as they do about data instance interactions inOLAP: at multiple levels of granularity. We demonstrate an integrated environment for exploring schema similarity across multiple resolutions. Users visualize and interact with clusters of related schemas using a tool named AxE;nity. Within any cluster, users may drill-down to examine the extent and content of schema overlap. Further drill down enables users to explore fine-grained element-level correspondences between two selected schemas.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2010
Accession Number
AD1108568

Entities

People

  • Beth Yost
  • Chris Wolf
  • Craig Bonaceto
  • Doug Burdick
  • Ken Smith
  • Michael Morse
  • Peter Mork

Organizations

  • MITRE Corporation

Tags

Communities of Interest

  • Air Platforms
  • Biomedical
  • Human Systems

DTIC Thesaurus Topics

  • Algorithms
  • Clustering
  • Coast Guard
  • Commerce
  • Consortiums
  • Corporations
  • Data Integration
  • Demonstrations
  • Drills
  • Electronic Commerce
  • Engineers
  • Environment
  • Hard Copy
  • Information Exchange
  • Information Systems
  • New York
  • Real Estate
  • Storage
  • Tools
  • Topographic Maps
  • Veterinary Medicine

Fields of Study

  • Computer science

Readers

  • Distributed Systems and Data Platform Development
  • Instructional Design and Training Evaluation.
  • Quantum Chemistry