Metadata miner assisted integrated information retrieval for Argo ocean data

Authors:
Yue Shan Chang;Hsiang-Tai Cheng;Hsuan-Jen Lai
Affiliations:
Dept. of Comp. Sci. & Inf. Eng., National Taipei University, Taipei County, Taiwan;Dept. of Comp. Sci. & Inf. Eng., National Taipei University, Taipei County, Taiwan;Institute of Comm. Eng., National Taipei University, Taipei County, Taiwan
Venue:
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Year:
2009

Citing 2
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Abstract

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.