A new application framework for virtual observatory (VO) is designed for discovering unknown knowledge from thousands of astronomical catalogs which have already released and are accessible through VO services. The framework consist of two new technologies to seamlessly associate data queried from SkyNode supported databases with data mining (DM) algorithms, which either come from third-party software or are developed directly above the framework. The first one is a high level programming language, called Job Description Language (JDL), for describing jobs for data accessing and numerical computation based on web services. The second technology is a computation component standard with both local and web service invocation interface, which is named as CompuCell. It is a universal solution for integrating arbitrary third-party DM software into the framework so as to invoke them directly in JDL program. We implement a prototype with a JDL supported portal and achieve clustering algorithm in CompuCell components. We combine a series of data mining procedures with a data access procedure by programming in JDL on the portal. A scientific research, which recognizes OB associations from 2MASS catalog, is treated as a demonstration for the prototype. It confirms the feasibility of the application framework.
The federation of data from distributed locations, different archives and different wavelengths can lead to new discoveries. Moreover, it is an important part of functions of the Virtual Observatory. We review the technical challenges involved in this issue, and develop a system which majors in providing a robust framework to efficiently extract the data from different sources into a science-grade data for the convenient use of astronomers. The system consists of several tasks wrapped together into an integrated framework. The tasks include: the automated creation of database, the rapid query of catalogs, cross-match query and the visualization of the queried results. Especially for cross-matching service, many choices are provided for users, such as one-to-one entry, one-to-many
entry, one-to-none entry, none-to-one entry. Meanwhile, the probability of cross-matching is given. In addition, users may select the attributes and the range of attributes according to their requirements. We will further improve the system in various respects according to the standards of the IVOA.
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