| ZBroker: a query routing broker for Z39.50 databases |
| Full text |
Pdf
(1.15 MB)
|
| 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 |
|
| Publisher |
|
| Bibliometrics |
Downloads (6 Weeks): 4, Downloads (12 Months): 12, Citation Count: 2
|
|
|
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.
 |
1
|
Michelle Baldonado , Chen-Chuan K. Chang , Luis Gravano , Andreas Paepcke, Metadata for digital libraries: architecture and design rationale, Proceedings of the second ACM international conference on Digital libraries, p.47-56, July 23-26, 1997, Philadelphia, Pennsylvania, United States
[doi> 10.1145/263690.263791]
|
| |
2
|
M. Buckland and C. Plaunt. Selecting Libraries, Selecting Documents, Selecting data. in Proceedings of A CM/ISDL, 1997.
|
 |
3
|
James P. Callan , Zhihong Lu , W. Bruce Croft, Searching distributed collections with inference networks, Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval, p.21-28, July 09-13, 1995, Seattle, Washington, United States
[doi> 10.1145/215206.215328]
|
 |
4
|
James C. French , Allison L. Powell , Charles L. Viles , Travis Emmitt , Kevin J. Prey, Evaluating database selection techniques: a testbed and experiment, Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval, p.121-129, August 24-28, 1998, Melbourne, Australia
[doi> 10.1145/290941.290976]
|
 |
5
|
Luis Gravano , Chen-Chuan K. Chang , Héctor García-Molina , Andreas Paepcke, STARTS: Stanford proposal for Internet meta-searching, Proceedings of the 1997 ACM SIGMOD international conference on Management of data, p.207-218, May 11-15, 1997, Tucson, Arizona, United States
|
 |
6
|
|
| |
7
|
National Information Standard Organization(~SO). ANSI Z39.50: Information Retrieval Service and Protocol, 1992.
|
| |
8
|
j. Powell and E.A. Fox. Multilingual federated searching across heterogeneous collections. D-Lib Magazine, September 1998.
|
| |
9
|
|
| |
10
|
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.
|
| |
11
|
|
|