MetaFa: Metadata Management Framework for Data Sharing in Data-Intensive Applications

被引：0
|
作者：
Ikebe, Minoru [1 ]
Inomata, Atsuo [1 ]
Fujikawa, Kazutoshi [1 ]
Sunahara, Hideki [1 ]
机构：
[1] Nara Inst Sci & Technol, Nara, Japan
来源：
DISTRIBUTED COMPUTING, ARTIFICIAL INTELLIGENCE, BIOINFORMATICS, SOFT COMPUTING, AND AMBIENT ASSISTED LIVING, PT II, PROCEEDINGS | 2009年 / 5518卷
关键词：
DataGrid; Data-Intensive Applications; Metadata; Data Management;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The data-intensive applications are naturally executed on the Internet and generate a huge amount of data. The generated data would be stored distributed storages. In such environments, a user cannot easily find the target: data by only filenames. The metadata, is very useful to represent the characteristics and semantics of data. If users can specify the metadata, they will access the target data intuitively. We have been developing a distributed data management system called "MetaFa". MetaFa can collect the metadata semi-automatically. In this paper, we discuss the implementation issues of MetaFa in order to collect metadata automatically.
引用
收藏
页码：655 / 658
页数：4
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