Evolution of the NASA/IPAC Extragalactic Database (NED) into a Data Mining Discovery Engine. II. Current Contents and Future Plans
- Creators
- Schmitz, Marion
Abstract
Recent advances have been made in evolving the NASA/IPAC Extragalactic Database (NED) into a data mining discovery engine. Infrastructure changes and data integration techniques are enabling more than a 10-fold expansion. NED will soon contain over a billion objects with their fundamental attributes (such as names, positions, redshifts, fluxes, and diameters) determined via cross-identifications among the largest sky surveys and over 100,000 smaller but scientifically important catalogs and journal articles. In addition, enhancements to the user interface, including new APIs, VO protocols, and queries involving derived physical quantities, will provide new pathways for multi-wavelength studies of large extragalactic samples.
Additional Information
© 2018 The Authors, published by EDP Sciences. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Published online: 27 July 2018. NED is operated by the California Institute of Technology, under contract with NASA. Current NED team members are Kay Baker, Ben Chan, Tracy Chen, Rick Ebert, Cren Frayer, George Helou, Jeff Jacobson, Tak Lo, Barry Madore, Joseph Mazzarella, Olga Pevunova, Ian Steer, Marion Schmitz, and Scott Terek.Attached Files
Published - epjconf_lisaviii2018_03001.pdf
Files
| Name | Size | Download all |
|---|---|---|
|
md5:f484e8ef6513fcc2db4c8dabc04c84fc
|
121.7 kB | Preview Download |
Additional details
- Eprint ID
- 98890
- Resolver ID
- CaltechAUTHORS:20190926-161012395
- Created
-
2019-09-26Created from EPrint's datestamp field
- Updated
-
2021-11-16Created from EPrint's last_modified field
- Caltech groups
- Infrared Processing and Analysis Center (IPAC)