Publication - Information Gathering as a Resource Bounded Interpretation Task

Authors:	Lesser, V.R., Horling, Bryan, Klassner, Frank, Raja, Anita, Wagner, Thomas A. and Zhang, Shelley XQ.
Title:	Information Gathering as a Resource Bounded Interpretation Task
Abstract:	This paper describes the rationale, architecture, and preliminary implementation of a next generation information gathering system. The goal of this funded research is to exploit the vast amount of information sources available today on the NII including a growing number of digital libraries, independent news agencies, government agencies, as well as human experts providing a variety of services. The large number of information sources and their different levels of accessibility, reliability and associated costs present a complex information gathering coordination problem. We outline the structure and components of a next generation information gathering agent that plans to gather information to support a decision process, reasons about the resource trade-offs of different possible gathering approaches, extracts information from unstructured documents, and uses the extracted information to refine its search and processing activities.
Keywords:	BIG
Publication:	UMass Computer Science Technical Report 97-34
Date:	March 1997
Sources:	PS: ftp://ftp.cs.umass.edu/pub/techrept/techreport/1997/UM-CS-1997-034.ps PDF: /Documents/UM-CS-1997-034.pdf
Reference:	Lesser, V.R., Horling, Bryan, Klassner, Frank, Raja, Anita, Wagner, Thomas A. and Zhang, Shelley XQ.. Information Gathering as a Resource Bounded Interpretation Task. UMass Computer Science Technical Report 97-34. March 1997.
`bibtex`:	@article{Lesser-11, author = "V.R. Lesser and Bryan Horling and Frank Klassner and Anita Raja and Thomas A. Wagner and Shelley XQ. Zhang", title = "{Information Gathering as a Resource Bounded Interpretation Task}", journal = "UMass Computer Science Technical Report 97-34", month = "March", year = "1997", url = "http://mas.cs.umass.edu/paper/11", }