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

Autor:	Kazutoshi Fujikawa, Hideki Sunahara, Atsuo Inomata, Minoru Ikebe
Rok vydání:	2009
Předmět:	Metadata Data element Database Computer science Metadata management Meta Data Services Data dictionary computer.software_genre computer Database catalog Metadata repository Data mapping
Zdroj:	Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living ISBN: 9783642024801 IWANN (2)
DOI:	10.1007/978-3-642-02481-8_97
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ff10bfbb4c1873b52398cf73565b4911 https://doi.org/10.1007/978-3-642-02481-8_97 Zobrazit plný text záznamu