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Knowledge Discovery Framework for the Virtual Observatory

2015/02/23 by Brian Thomas, Edward Shaya, E. Shaya +6
Computer Science · Decision Sciences · Engineering · Physics and Astronomy · #Advanced Computational Techniques and Applications #Astronomical Observations and Instrumentation #FOS: Computer and information sciences #FOS: Physical sciences #Human-Computer Interaction (cs.HC) #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Scientific Computing and Data Management #astro-ph.IM #cs.HC

paper · pdf · doi:10.48550/arxiv.1502.06501

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

arxiv created 2015/02/23 · openalex publication_date 2015/02/23 · arxiv updated 2015/02/24 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

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.

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