Computer Science – Databases
Scientific paper
Jun 2008
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008pnaoc...5..137g&link_type=abstract
Astronomical Research and Technology. Publications of National Astronomical Observatories of China (ISSN 1672-7673), Vol. 5, No.
Computer Science
Databases
Large-Scale Catalogues, Data Analysis, Data Mining, Cross-Identification
Scientific paper
The cross-identification of catalogues from different bands, especially from large survey projects, is the bottleneck for multi-wavelength astronomical research, especially for data-mining and statistical studies. The authors developed and realized a huge multi-wavelength catalogue federation system (XMaS_VO) independent of special databases. XMaS_VO provides catalogue upload and automation of creating databases as well as cross-identification. Since XMaS_VO has good generalization, users can create own databases, and conveniently transplant this system to the local server or their own computers, so that they may implement XMaS_VO by themselves or open such services to others. With the development and deployment of XMaS_VO, astronomers will easily obtain the multi-wavelength federation data they need, therfore more effectively process and analyze large-scale data avoiding the limits of huge volume of data.
Gao Dan
Lu Yong
Zhang Yan-Xia
Zhao Yong-Heng
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