IMT: a mixed-initiative data mapping and search toolkit

Authors:
Michael Zang;Adam Gray;Joe Kriege;Kalyan Moy Gupta;David W. Aha
Affiliations:
CDM Technologies, Inc., San Luis Obispo, CA;Collaborative Agent Design Research Center, California Polytechnic State University, San Luis Obispo, CA;CDM Technologies, Inc., San Luis Obispo, CA;Knexus Research Corp., Springfield, VA;Navy Center for Applied Research in Artificial Intelligence, Naval Research Laboratory, Washington, DC
Venue:
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 3
Year:
2008

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Abstract

Interoperability requires the resolution of syntactic and semantic variations among system data models. To address this problem, we developed the Intelligent Mapping Toolkit (IMT), which employs a distributed multi-agent architecture to enable the mixed-initiative mapping of metadata and instances. This architecture includes a novel federation of service-encapsulated matching agents that leverage case-based reasoning methods. We recently used the IMT matching service to develop several domain-specific search applications in addition to the IMT mapping application.