Publication Type
Conference Proceeding Article
Version
submittedVersion
Publication Date
8-1999
Abstract
In this paper, we focus on the database selection problem in the context of a global digital library consisting of a large number of online bibliographic servers. Each server hosts a bibliographic database that contains bibliographic records each of which consists of text values for a number of pre-defined bibliographic attributes such as title, author, call number, subject, etc.. Each bibliographic database supports user queries on the bibliographic attributes. Since bibliographic records are relatively small in size, we only consider bibliographic databases that support boolean queries on the bibliographic attributes, and the query results are not ranked. While focusing on bibliographic databases, we believe that our proposed solution can be extended to handle other databases that contain searchable text attributes. Formally, we define a general database selection problem as follows:
Discipline
Databases and Information Systems | Numerical Analysis and Scientific Computing
Publication
Database and Expert Systems Applications: 10th International Conference, DEXA’99 Florence, Italy, August 30 - September 3, 1999: Proceedings
Volume
1677
First Page
100
Last Page
109
ISBN
9783540483090
Identifier
10.1007/3-540-48309-8_9
Publisher
Springer Verlag
City or Country
Florence, Italy, 30 Aug-1 Sep
Citation
XU, Jian; LIM, Ee Peng; and NG, Wee-Keong.
Cluster-based database selection techniques for routing bibliographic queries. (1999). Database and Expert Systems Applications: 10th International Conference, DEXA’99 Florence, Italy, August 30 - September 3, 1999: Proceedings. 1677, 100-109.
Available at: https://ink.library.smu.edu.sg/sis_research/975
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
http://doi.org/10.1007/3-540-48309-8_9
Included in
Databases and Information Systems Commons, Numerical Analysis and Scientific Computing Commons