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Summary: On Scalable Information Retrieval Systems
(Invited Paper)
Ophir Frieder & David Grossman
Illinois Institute of Technology
{frieder, grossman}@iit.edu
Abdur Chowdhury
America Online
cabdur@aol.com
Abstract
Scalable information retrieval systems are crucial to
meeting the growing volumes of data. We describe work
done to facilitate scalability by reducing duplication,
providing integration with structured data, and
supporting integration and question answering via an
intranet mediator. All examples given are taken
directly from prior and on-going efforts in the IIT
Information Retrieval Laboratory in collaboration with
AOL and NCR.
1. Introduction
The development of scalable computerized
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