Distributed resource discovery through exchanges of examples and classifiers

Chung-Sheng Li; Lawrence D. Bergman; Vittorio Castelli; Yuan-Chi Chang; Matthew Hill; John R. Smith

doi:10.1117/12.410923

1 January 2001 Distributed resource discovery through exchanges of examples and classifiers

Chung-Sheng Li, Lawrence D. Bergman, Vittorio Castelli, Yuan-Chi Chang, Matthew Hill, John R. Smith

Proceedings Volume 4315, Storage and Retrieval for Media Databases 2001; (2001) https://doi.org/10.1117/12.410923
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States

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.

Citation Download Citation

Chung-Sheng Li, Lawrence D. Bergman, Vittorio Castelli, Yuan-Chi Chang, Matthew Hill, and John R. Smith "Distributed resource discovery through exchanges of examples and classifiers", Proc. SPIE 4315, Storage and Retrieval for Media Databases 2001, (1 January 2001); https://doi.org/10.1117/12.410923

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