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中文摘要：
将不同波段的星表、特别是巡天项目产生的大型星表进行交叉证认，一直是进行多波段天文学研究，尤其是数据挖掘、统计分析研究的瓶颈。本文开发和实现了一个不依赖于特定数据库的海量星表融合系统（简称为XMaS_VO），用户能够方便地使用此系统的服务进行星表的上传及自动入库、交叉证认等工作。此外，XMaS_VO具备可移植性，如果用户需要进行很大数量的或者大型星表的交叉证认服务，可以自己建立数据库，方便地将此工具移植到自己的服务器上，自己使用或者开放服务给他人。随着该系统的进一步发展和应用，天文学家将可以轻松自如地获得他们需要的多波段融合数据，自由地选取参数和匹配的结果，从而可以更加有效地从事海量数据处理和分析工作。
英文摘要：
The cross - identification of catalogues from different bands, especially from large survey projects, is the bottleneck for multi -wavelength astronomical research in multi -wavelength, especially for data mining and statistical study. We 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, therefore more effectively process and analyze large - scale data avoiding the limits of huge volume of data.
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