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Semantic oriented data access and storage at MPIM/DKRZ

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Problems in data access may be caused by large amounts of data as for climate research or Earth observation and by interdisciplinary data usage. Data organisation in files on the operating system level is not sufficient to fit the requirements of access performance and easy to use data extraction. Semantic oriented data handling is suggested as an alternative. Data access and storage are formulated within the semantics of the data model neglecting the details of physical storage.

Published in:

Mass Storage Systems and Technologies, 2001. MSS '01. Eighteenth IEEE Symposium on

Date of Conference:

17-20 April 2001