Text Mining Applied to SQL Queries: A Case Study for the SDSS SkyServer

Abstract

SkyServer, the portal for the Sloan Digital Sky Survey (SDSS) catalog, provides data access tools for astronomers and scientific education. One of the interfaces allows users to enter ad hoc SQL statements to query the catalog, and has logged over 280 million queries since 2001. This paper describes text mining techniques and preliminary results on mining the logs of the SQL queries submitted to SkyServer, along with what other applications we foresee for such procedure.

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@inproceedings{Makiyama2015TextMA, title={Text Mining Applied to SQL Queries: A Case Study for the SDSS SkyServer}, author={Vitor Hirota Makiyama and Jordan Raddick and Rafael D. C. Santos}, booktitle={SIMBig}, year={2015} }