Enabling the interoperability of large-scale legacy systems

Authors:
Kalyan Moy Gupta;Mike Zang;Adam Gray;David W. Aha;Joe Kriege
Affiliations:
Knexus Research Corp., Springfield, VA;CDM Technologies Inc., San Luis Obispo, CA;CDM Technologies Inc., San Luis Obispo, CA;Navy Center for Applied Research in Artificial Intelligence, Naval Research Laboratory, Washington, DC;CDM Technologies Inc., San Luis Obispo, CA
Venue:
IAAI'08 Proceedings of the 20th national conference on Innovative applications of artificial intelligence - Volume 3
Year:
2008

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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 pre-deployment 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.