SIGN IN
SIGN UP
A semantic annotation framework for retrieving and analyzing observational datasets
Full Text:
Pdf
Buy this Article
Authors:
Shawn Bowers
Gonzaga University, Spokane, WA, USA
Huiping Cao
New Mexico State University, Las Cruces, NM, USA
Mark Schildhauer
University of California, Santa Barbara, Santa Barbara, CA, USA
Matt Jones
University of California, Santa Barbara, Santa Barbara, CA, USA
Ben Leinfelder
University of California, Santa Barbara, Santa Barbara, CA, USA
Margaret O'Brien
University of California, Santa Barbara, Santa Barbara, CA, USA
2010 Article
Poster
Bibliometrics
· Downloads (6 Weeks): 4
· Downloads (12 Months): 43
· Downloads (cumulative): 120
· Citation Count: 2
Published in:
· Proceeding
ESAIR '10 Proceedings of the third workshop on Exploiting semantic annotations in information retrieval
Pages 31-32
ACM
New York, NY
, USA
©2010
table of contents
ISBN: 978-1-4503-0372-9
doi>
10.1145/1871962.1871982
Tools and Resources
Buy this Article
TOC Service:
Email
RSS
Save to Binder
Export Formats:
BibTeX
EndNote
ACM Ref
Upcoming Conference:
WSDM 2014
Share:
|
Tags:
design
miscellaneous
observational data
semantic annotation
Feedback
|
Switch to
single page view
(no tabs)
**Javascript is not enabled and is required for the "tabbed view" or switch to the
single page view
**
Powered by
The ACM Guide to Computing Literature
All Tags
Export Formats
Save to Binder