ML Anthology

IMT: A Mixed-Initiative Data Mapping and Search Toolkit

Michael Zang, Adam Gray, Joe Kriege, Kalyan Moy Gupta, David W. Aha
AAAI 2008 pp. 1890-1891
/aaai/2008/zang2008aaai-imt/

Abstract

Interoperability requires the resolution of syntactic and semantic variations among system data models. To address this problem, we have developed the Intelligent Mapping Toolkit (IMT), which employs a distributed multi-agent architecture to enable mixed-initiative mapping of metadata and instances. This architecture includes a novel federation of service-encapsulated matching agents that leverage casebased reasoning methods. We have recently used the IMT matching service to develop several domain-specific search applications in addition to the IMT mapping application. The Motivation for Developing IMT Interoperability among information systems is a primary concern in integrating processes both within and across organizations. As the distribution process owner (DPO) for

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Text

Zang et al. "IMT: A Mixed-Initiative Data Mapping and Search Toolkit." AAAI Conference on Artificial Intelligence, 2008.

Markdown

[Zang et al. "IMT: A Mixed-Initiative Data Mapping and Search Toolkit." AAAI Conference on Artificial Intelligence, 2008.](https://mlanthology.org/aaai/2008/zang2008aaai-imt/)

BibTeX

@inproceedings{zang2008aaai-imt,
  title     = {{IMT: A Mixed-Initiative Data Mapping and Search Toolkit}},
  author    = {Zang, Michael and Gray, Adam and Kriege, Joe and Gupta, Kalyan Moy and Aha, David W.},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2008},
  pages     = {1890-1891},
  url       = {https://mlanthology.org/aaai/2008/zang2008aaai-imt/}
}