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Proceedings Paper

Distributed resource discovery through exchanges of examples and classifiers
Author(s): Chung-Sheng Li; Lawrence D. Bergman; Vittorio Castelli; Yuan-Chi Chang; Matthew Hill; John R. Smith
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Paper Abstract

Distributed resource discovery is an essential step for information retrieval and providing information services. This step is usually used for determining the location of an information/data repository that has relevant information/data. The most fundamental challenge is the potential lack of semantic interoperability among these repositories. In this paper, we proposed an algorithm to enable distributed resource discovery. In the proposed method, the distributed repositories achieve pair wise semantic interoperability through the exchange of both examples. For each repository, the local classifier is used to classify the examples sent by the remote repository, and the classifier from the remote repository is used to classify the examples from the local repository. The correspondence of the class labels from two repositories can then be established by examining the classification results.

Paper Details

Date Published: 1 January 2001
PDF: 8 pages
Proc. SPIE 4315, Storage and Retrieval for Media Databases 2001, (1 January 2001); doi: 10.1117/12.410923
Show Author Affiliations
Chung-Sheng Li, IBM Thomas J. Watson Research Ctr. (United States)
Lawrence D. Bergman, IBM Thomas J. Watson Research Ctr. (United States)
Vittorio Castelli, IBM Thomas J. Watson Research Ctr. (United States)
Yuan-Chi Chang, IBM Thomas J. Watson Research Ctr. (United States)
Matthew Hill, IBM Thomas J. Watson Research Ctr. (United States)
John R. Smith, IBM Thomas J. Watson Research Ctr. (United States)


Published in SPIE Proceedings Vol. 4315:
Storage and Retrieval for Media Databases 2001
Minerva M. Yeung; Chung-Sheng Li; Rainer W. Lienhart, Editor(s)

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