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

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4 Author(s)
Jie Song ; Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China ; Yubin Bao ; Jingang Shi ; Ge Yu

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.

Published in:

Computer and Information Technology, 2009. CIT '09. Ninth IEEE International Conference on  (Volume:2 )

Date of Conference:

11-14 Oct. 2009

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