Statistics – Applications
Scientific paper
Aug 2008
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008aspc..394..742g&link_type=abstract
Astronomical Data Analysis Software and Systems ASP Conference Series, Vol. 394, Proceedings of the conference held 23-26 Septem
Statistics
Applications
1
Scientific paper
The Semantic Web has turned from W3C vision into a set of practical engineering challenges; at the same time, the success of Web~2.0 applications has illustrated a broad variety of new ways that users (and indeed machines) can interact with data sources. Now is an excellent time to examine the many opportunities for astronomy, including semantic data access, data mining (exploiting distributed annotation and heterogeneous sources), and intelligent data dissemination and discovery.
This paper presents a brief review of the technologies, illustrating it with examples of the wide range of existing Virtual Observatory semantic applications, from the elaborate and formal to the informal and lightweight. The latter tools overlap with Web-2.0 style applications, and indicate how we might adapt some of that community's more successful ideas. Throughout, the emphasis will be on how existing applications help us imagine further possibilities of the emerging field of Semantic Astronomy.
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