MetaFa: Metadata management framework for data sharing in data-intensive applications

Minoru Ikebe, Atsuo Inomata, Kazutoshi Fujikawa, Hideki Sunahara

研究成果: Conference contribution

抄録

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.

本文言語English
ホスト出版物のタイトルDistributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, Ambient Assisted Living - 10th Int. Work-Conf. Artificial Neural Networks, IWANN 2009 Workshops, Proceedings
ページ655-658
ページ数4
PART 2
DOI
出版ステータスPublished - 2009 12 1
イベント10th International Work-Conference on Artificial Neural Networks, IWANN 2009 - Salamanca, Spain
継続期間: 2009 6 102009 6 12

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
番号PART 2
5518 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Other

Other10th International Work-Conference on Artificial Neural Networks, IWANN 2009
CountrySpain
CitySalamanca
Period09/6/1009/6/12

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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