Metadata Miner Assisted Integrated Information Retrieval for Argo Ocean Data

被引：3
|
作者：
Chang, Yue Shan [1 ]
Cheng, Hsiang-Tai [1 ]
Lai, Hsuan-Jen [2 ]
机构：
[1] Natl Taipei Univ, Dept Comp Sci & Inf Eng, Taipei, Taiwan
[2] Natl Taipei Univ, Inst Comm Engn, Taipei, Taiwan
来源：
2009 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC 2009), VOLS 1-9 | 2009年
关键词：
Metadata; Miner; Integrated Information Retrieval; Argo; Ocean data;
D O I：
10.1109/ICSMC.2009.5346014
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
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(1).
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页码：2930 / +
页数：2
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