Publication - Recent Extensions to BIG: A Resource-Bounded Information Gathering Agent

Authors: Lesser, V., Horling, B., Klassner, F., Raja, A., Wagner, T., Zhang, S.
Title: Recent Extensions to BIG: A Resource-Bounded Information Gathering Agent
Abstract: BIG (resource Bounded Information Gathering) is a next generation information gathering agent which integrates several areas of Artificial Intelligence research under a single umbrella. To date, reported work has presented the rationale, architecture, and implementation of the system. This has included planning, reasoning about resource tradeoffs of different possible gathering and extraction approaches, information extraction from both structured as well as unstructured documents, and opportunistic refinement of the search process using the extracted information. In this paper, we present recent improvements made to BIG, which make it a more versatile and robust system. These include documentation classification to handle distraction, sophisticated information fusion techniques, and finally the logistics behind search precision versus coverage tradeoffs. We also present empirical evaluations which show the performance improvement due to these extensions.
Keywords: BIG
Publication: Proceedings of AAAI Workshop on Intelligent Information Systems, Orlando, Florida 1999,UMASS Technical Report 1999-13
Date: March 1999
Sources: PS: ftp://ftp.cs.umass.edu/pub/techrept/techreport/1999/UM-CS-1999-013.ps
PDF: /Documents/UM-CS-1999-013.pdf
Reference: Lesser, V., Horling, B., Klassner, F., Raja, A., Wagner, T., Zhang, S.. Recent Extensions to BIG: A Resource-Bounded Information Gathering Agent. Proceedings of AAAI Workshop on Intelligent Information Systems, Orlando, Florida 1999,UMASS Technical Report 1999-13. March 1999.
bibtex: 
@article{Lesser-129,
  author    = "V. Lesser and B. Horling and F. Klassner and A.
               Raja and T. Wagner and S. Zhang",
  title     = "{Recent Extensions to BIG: A Resource-Bounded
               Information Gathering Agent}",
  journal   = "Proceedings of AAAI Workshop on Intelligent
               Information Systems, Orlando, Florida 1999,UMASS
               Technical Report 1999-13",
  month     = "March",
  year      = "1999",
  url       = "http://mas.cs.umass.edu/paper/129",
}