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Metadata miner assisted integrated information retrieval for argo ocean data

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3 Author(s)
Yue Shan Chang ; Dept. of Comp. Sci. & Inf. Eng., National Taipei University, Taipei County, Taiwan ; Hsiang-Tai Cheng ; Hsuan-Jen Lai

Argo project is an international ocean-observatory project that has a global array of 3,000 more free-drifting profiling floats. Argo data is a large collection of data files. To retrieve Argo data from the large database is a complicated work even if the Argo database has a metadata file per day for helping user to inquire the target files. This paper proposes a metadata miner (MM) approach to assist user program to inquire the target files quickly. In addition, we also propose an integrated information retrieval framework that based on mediator/wrapper approach to smoothly tie the MM. According to the performance evaluation, it shows that the MM approach has a significant performance enhancement in finding the target file.

Published in:

Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on

Date of Conference:

11-14 Oct. 2009