Knowledge Discovery Framework for the Virtual Observatory [IMA]

http://arxiv.org/abs/1502.06501


We describe a framework that allows a scientist-user to easily query for information across all Virtual Observatory (VO) repositories and pull it back for analysis. This framework hides the gory details of meta-data remediation and data formatting from the user, allowing them to get on with search, retrieval and analysis of VO data as if they were drawn from a single source using a science based terminology rather than a data-centric one.

Read this paper on arXiv…

B. Thomas, E. Shaya, Z. Huang, et. al.
Tue, 24 Feb 15
16/67

Comments: ADASS XVI ASP Conference Series, Vol. 376, proceedings of the conference held 15-18 October 2006 in Tucson, Arizona, USA. Edited by Richard A. Shaw, Frank Hill and David J. Bell., p.563