This project represents an integrated effort by researchers working in the areas of information storage and retrieval, computational linguistics, and artificial intelligence (E.A. Fox and J.T. Nutter at Virginia Tech, and N.M. Evans at IIT) to organize lexical knowledge so that more effective interactive information retrieval will be possible. A large English lexicon (i.e., a knowledge base integrating various kinds of information about words, their usage and meaning) will be created, and methods will be developed to use that lexicon to improve the effectiveness of online information retrieval systems. This lexicon will be used as an essential part of experimental tests of two knowledge based information retrieval systems, enabling empirical evaluation of the effectiveness of various approaches to interactively using an English lexicon to support information retrieval. The importance of this research is that the amount of information available today in the form of documents has grown far beyond the ability of any individual person to manage without computer assistance. This work, bringing together strategies from artificial intelligence, natural language processing, and information retrieval, will result in far more powerful, knowledge-based computer systems able to act as intelligent "assistants" to help people effectively access the information available to them in documents.

Agency
National Science Foundation (NSF)
Institute
Division of Information and Intelligent Systems (IIS)
Type
Standard Grant (Standard)
Application #
8704619
Program Officer
MICHELE R. JOHNSON
Project Start
Project End
Budget Start
1987-09-01
Budget End
1990-02-28
Support Year
Fiscal Year
1987
Total Cost
$97,730
Indirect Cost
Name
Illinois Institute of Technology
Department
Type
DUNS #
City
Chicago
State
IL
Country
United States
Zip Code
60616