Collaborative identification and annotation of government deep web resources: a hybrid approach

Authors:
Pengyi Zhang;Yan Qu;Chen Huang;Paul T. Jaeger;John Wells;W. Scott Hayes;James E. Hayes;Xin Jin
Affiliations:
University of Maryland, College Park, MD, USA;University of Maryland, College Park, MD, USA;University of Maryland, College Park, MD, USA;University of Maryland, College Park, MD, USA;Keyworks, Inc, Washington, DC, USA;Fluctus Consulting LLC, Haymarket, VA, USA;Fluctus Consulting LLC, Haymarket, VA, USA;Central University of Finance & Economics, Beijing, China
Venue:
Proceedings of the 21st ACM conference on Hypertext and hypermedia
Year:
2010

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Abstract

In this extended abstract, we propose a hybrid approach of automatic means and social computing to identify and annotate Deep Web resources - mainly databases and database portals - to provide easy access to and descriptions and instruction on how to use these resources.