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

Authors:
Minoru Ikebe;Atsuo Inomata;Kazutoshi Fujikawa;Hideki Sunahara
Affiliations:
Nara Institute Science and Technology, Ikoma, Nara, Japan;Nara Institute Science and Technology, Ikoma, Nara, Japan;Nara Institute Science and Technology, Ikoma, Nara, Japan and Osaka University, Suita, Osaka, Japan;Nara Institute Science and Technology, Ikoma, Nara, Japan and Keio University, Yokohama, Kanagawa, Japan
Venue:
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part II: Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living
Year:
2009

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Abstract

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.