NDLI: Case Study on Multi-classifications Based Scientific Data Management and Analysis System

Content Provider	IEEE Xplore Digital Library
Author	Jie Song Yubin Bao Jingang Shi Ge Yu
Copyright Year	2009
Abstract	The polymorphic, diversified, multi-sources and multi-use scientific data is quite different from the other data, there are many new challenges in building Scientific Data Management and Analysis System (SDMAS), especial one is that the multi-use data requires alternate classifications and mappings between them. Based on the oceanographic data, we present the solutions of multi-classifications problems. We first introduced the data and classificatory criterions of this case, then adopt the classification ontology to represent multi-classifications, use the metadata, query builder and data view mechanisms to support the dynamic cross-classification oriented query. We also prove the purposed solutions by applications and experiments. Theories and practices prove that the proposed solutions are contributed to build multi-classification based SDMAS.
Starting Page	272
Ending Page	277
File Size	436637
Page Count	6
File Format	PDF
ISBN	9780769538365
DOI	10.1109/CIT.2009.89
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-10-11
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data analysis Technology management Scientific Data Instruments Engineering management Buildings Distributed databases Conference management Multi-classifications Multiaccess communication Information technology Information analysis
Content Type	Text
Resource Type	Article

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