Detecting and representing relevant web deltas using web join

Detecting and representing relevant web deltas using web join

In this paper, we show how to detect and represent web deltas, i.e., changes in Web information, that are relevant to a user's query in the context of our web warehousing system called WHOWEDA (Warehouse of Web Data). In WHOWEDA, Web information is materialized views stored in web tables and ca...

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Bibliographic Details
Main Authors: BHOWMICK, Sourav S., NG, Wee-Keong, Madria, Sanjay Kumar, LIM, Ee Peng
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2000
Subjects:
Web deltas
Web warehousing
Web tables
Web join
Outer web join
Databases and Information Systems
Numerical Analysis and Scientific Computing
Online Access:https://ink.library.smu.edu.sg/sis_research/1006
http://doi.ieeecomputersociety.org/10.1109/ICDCS.2000.840935
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Institution: Singapore Management University
Language: English
Description
Summary:In this paper, we show how to detect and represent web deltas, i.e., changes in Web information, that are relevant to a user's query in the context of our web warehousing system called WHOWEDA (Warehouse of Web Data). In WHOWEDA, Web information is materialized views stored in web tables and can be manipulated and analyzed using a set of web algebraic operators. In this paper, we present a mechanism to detect relevant web deltas using web join and outer web join. We show how to represent these changes using delta web tables.

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