KEYWORDS: Databases, Data storage, Surface conduction electron emitter displays, Observatories, Data modeling, Galactic astronomy, Human-machine interfaces, Stars, 3D modeling, Interfaces
The VIALACTEA project has a work package dedicated to “Tools and Infrastructure" and, inside it, a task for the “Database and Virtual Observatory Infrastructure". This task aims at providing an infrastructure to store all the resources needed by the, more purposely, scientific work packages of the project itself. This infrastructure includes a combination of: storage facilities, relational databases and web services on top of them, and has taken, as a whole, the name of VIALACTEA Knowledge Base (VLKB). This contribution illustrates the current status of this VLKB. It details the set of data resources put together; describes the database that allows data discovery through VO inspired metadata maintenance; illustrates the discovery, cutout and access services built on top of the former two for the users to exploit the data content.
KEYWORDS: Data mining, Astronomy, Data modeling, Web 2.0 technologies, Galactic astronomy, Machine learning, Data centers, Spectroscopy, Parallel computing, Data archive systems
The emerging field of AstroInformatics, while on the one hand appears crucial to face the technological challenges, on
the other is opening new exciting perspectives for new astronomical discoveries through the implementation of advanced data mining procedures. The complexity of astronomical data and the variety of scientific problems, however, call for innovative algorithms and methods as well as for an extreme usage of ICT technologies. The DAME (DAta Mining and Exploration) Program exposes a series of web-based services to perform scientific investigation on astronomical massive data sets. The engineering design and requirements, driving its development since the beginning of the project, are projected towards a new paradigm of Web based resources, which reflect the final goal to become a prototype of an efficient data mining framework in the data-centric era.
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