Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
9-1999
Abstract
At the Centre for Advanced Information Systems (CAIS), a Web warehousing system is being developed to store and manipulate Web information. The system named WHOWEDA (WareHouse Of WEb DAta) stores extracted Web information as Web tables and provides several Web operators, eg. Web join, Web select, global coupling, etc., to manipulate Web tables. During the implementation of WHOWEDA, it is necessary to perform systematic testing on the system and to evaluate its system performance. While it is possible for WHOWEDA to be tested or evaluated using actual Web pages downloaded from WWW, the amount of time required for such testing and evaluation would be so high that a comprehensive experimentation would not be possible. To overcome these difficulties, we have proposed to develop a synthetic Web database generator called WEDAGEN to efficiently generate synthetic Web information for performance evaluation and testing purposes. We present the major objectives to be accomplished by the proposed synthetic Web database generator
Discipline
Databases and Information Systems | Numerical Analysis and Scientific Computing
Publication
International Workshop of Internet Data Management (IDM'99), in conjunction with DEXA'99
Identifier
10.1109/DEXA.1999.795277
Publisher
IEEE
City or Country
Florence, Italy, Sep 2
Citation
PRIYARDARSHINI, Pallavi; QIN, Fengqiong; LIM, Ee Peng; and NG, Wee-Keong.
WEDAGEN: A synthetic web database generator. (1999). International Workshop of Internet Data Management (IDM'99), in conjunction with DEXA'99.
Available at: https://ink.library.smu.edu.sg/sis_research/932
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=795277&abstractAccess=no&userType=
Included in
Databases and Information Systems Commons, Numerical Analysis and Scientific Computing Commons