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On scalable information retrieval systems

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3 Author(s)
Frieder, O. ; Illinois Inst. of Technol., Chicago, IL, USA ; Grossman, D. ; Chowdhury, A.

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.

Published in:

Network Computing and Applications, 2003. NCA 2003. Second IEEE International Symposium on

Date of Conference:

16-18 April 2003

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