Title :
Case Study on Multi-classifications Based Scientific Data Management and Analysis System
Author :
Song, Jie ; Bao, Yubin ; Shi, Jingang ; Yu, Ge
Author_Institution :
Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
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.
Keywords :
data analysis; meta data; natural sciences computing; oceanography; pattern classification; query processing; Scientific Data Management and Analysis System; classification ontology; classificatory criterion; data view mechanism; dynamic cross-classification oriented query; metadata; multiclassifications problem; oceanographic data; query builder; Buildings; Conference management; Data analysis; Distributed databases; Engineering management; Information analysis; Information technology; Instruments; Multiaccess communication; Technology management; Multi-classifications; Scientific Data;
Conference_Titel :
Computer and Information Technology, 2009. CIT '09. Ninth IEEE International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-0-7695-3836-5
DOI :
10.1109/CIT.2009.89
