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ZBroker: a query routing broker for Z39.50 databases
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Source Conference on Information and Knowledge Management archive
Proceedings of the eighth international conference on Information and knowledge management table of contents
Kansas City, Missouri, United States
Pages: 202 - 209  
Year of Publication: 1999
ISBN:1-58113-146-1
Authors
Yong Lin  Centre for Advanced Information Systems, School of Applied Science, Nanyang Technological University, Nanyang Avenue, Singapore 639798
Jian Xu  Centre for Advanced Information Systems, School of Applied Science, Nanyang Technological University, Nanyang Avenue, Singapore 639798
Ee-Peng Lim  Centre for Advanced Information Systems, School of Applied Science, Nanyang Technological University, Nanyang Avenue, Singapore 639798
Wee-Keong Ng  Centre for Advanced Information Systems, School of Applied Science, Nanyang Technological University, Nanyang Avenue, Singapore 639798
Sponsors
SIGART: ACM Special Interest Group on Artificial Intelligence
SIGIR: ACM Special Interest Group on Information Retrieval
SIGMIS: ACM Special Interest Group on Management Information Systems
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 4,   Downloads (12 Months): 12,   Citation Count: 2
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ABSTRACT

A query routing broker is a software agent that determines from a large set of accessing information sources the ones most relevant to a user's information need. As the number of information sources on the Internet increases dramatically, future users will have to rely on query routing brokers to decide a small number of information sources to query without incurring too much query processing overheads. In this paper, we describe a query routing broker known as ZBroker developed for bibliographic database servers that support the Z39.50 protocol. ZBroker samples the content of each bibliographic database by using training queries and their results, and summarizes the bibliographic database content into a knowledge base. We present the design and implementation of ZBroker and describe its Web-based user interface.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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M. Buckland and C. Plaunt. Selecting Libraries, Selecting Documents, Selecting data. in Proceedings of A CM/ISDL, 1997.
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National Information Standard Organization(~SO). ANSI Z39.50: Information Retrieval Service and Protocol, 1992.
 
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j. Powell and E.A. Fox. Multilingual federated searching across heterogeneous collections. D-Lib Magazine, September 1998.
 
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G. Towell, E.M. Voorhees, N.K. Gupta, and B. Johnson Laird. Learning Collection Fusion Strategies for Information Retrieval. in Proceedings of the 12th Annual Machine Learning Conference, Lake Tahoe, July 1995.
 
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Collaborative Colleagues:
Yong Lin: colleagues
Jian Xu: colleagues
Ee-Peng Lim: colleagues
Wee-Keong Ng: colleagues