Enabling the Interoperability of Large-Scale Legacy Systems

Abstract

Legacy system data models can interoperate only if their syntactic and semantic differences are resolved. To address this problem, we developed the Intelligent Mapping Toolkit (IMT), which enables mixed-initiative mapping of metadata and instances between relational data models. IMT employs a distributed multi-agent architecture so that unlike many other efforts, it can perform mapping tasks that involve thousands of schema elements. This architecture includes a novel federation of matching agents that leverage case-based reasoning methods. As part of our predeployment evaluation for USTRANSCOM and other DoD agencies, we evaluated IMT's mapping performance and scalability. We show that combinations of its matching agents are more effective than any that operate independently, and that they scale to realistic problems.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2008
Accession Number
ADA593073

Entities

People

  • Adam Gray
  • David W. Aha
  • Joe Kriege
  • Kalyan M. Gupta
  • Mike Zang

Organizations

  • Knexus Research (United States)

Tags

Communities of Interest

  • Autonomy
  • Counter WMD
  • Engineered Resilient Systems
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Databases
  • Decision Support Systems
  • Graphical User Interface
  • Information Retrieval
  • Information Science
  • Information Systems
  • Interoperability
  • Machine Learning
  • Models
  • Neural Networks
  • Ontologies
  • Relational Databases
  • Spreadsheet Software
  • Test And Evaluation
  • United States Transportation Command
  • User Interface

Fields of Study

  • Computer science

Readers

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