Knowledge Discovery Framework for the Virtual Observatory
Instrumentation and Methods for Astrophysics
2015-02-24 v1 Human-Computer Interaction
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.
Keywords
Cite
@article{arxiv.1502.06501,
title = {Knowledge Discovery Framework for the Virtual Observatory},
author = {Brian Thomas and Edward Shaya and Zenping Huang and Peter Teuben},
journal= {arXiv preprint arXiv:1502.06501},
year = {2015}
}
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