Summary: To Search or to Crawl?
Towards a Query Optimizer for Text-Centric Tasks
Panagiotis G. Ipeirotis
New York University
panos@nyu.edu
Eugene Agichtein
Microsoft Research
eugeneag@microsoft.com
Pranay Jain
Columbia University
pranay.jain@columbia.edu
Luis Gravano
Columbia University
gravano@cs.columbia.edu
ABSTRACT
Text is ubiquitous and, not surprisingly, many important applications
rely on textual data for a variety of tasks. As a notable example, in-
formation extraction applications derive structured relations from un-
structured text; as another example, focused crawlers explore the web
to locate pages about specific topics. Execution plans for text-centric

Source: Agichtein, Eugene - Department of Mathematics and Computer Science, Emory University
Gravano, Luis - Department of Computer Science, Columbia University
Ipeirotis, Panagiotis G. - Department of Information, Operations, and Management Sciences, Leonard N. Stern School of Business, New York University

Collections: Computer Technologies and Information Sciences