@inproceedings{22a47b0da4284694803d94341455b4ce,
title = "MetaFa: Metadata management framework for data sharing in data-intensive applications",
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.",
keywords = "Data management, Data-intensive applications, DataGrid, Metadata",
author = "Minoru Ikebe and Atsuo Inomata and Kazutoshi Fujikawa and Hideki Sunahara",
year = "2009",
doi = "10.1007/978-3-642-02481-8_97",
language = "English",
isbn = "3642024807",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 2",
pages = "655--658",
booktitle = "Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, Ambient Assisted Living - 10th Int. Work-Conf. Artificial Neural Networks, IWANN 2009 Workshops, Proceedings",
edition = "PART 2",
note = "10th International Work-Conference on Artificial Neural Networks, IWANN 2009 ; Conference date: 10-06-2009 Through 12-06-2009",
}