Title :
Effectively Maintaining Multiple View Consistency in Web Warehouses
Author :
Zhang, Yan ; Qin, Xiangdong
Author_Institution :
Center for Inf. Sci., Peking Univ., Beijing
Abstract :
To make a Web warehouse reflect the real Web accurately, we should keep timeliness, freshness and consistency for the Webviews. This paper focuses on one important part of Webview maintenance - mutual consistency between Webviews, which is formally named as multiple Webview consistency (abbreviated as MVC). Although the same problem has been well studied in a traditional data warehouse, however, it has never been considered for a Web warehouse. Since data sources in a Web warehousing environment do not propagate base data changes to the information consumers, which are different from the case in the traditional data warehouses, it is not feasible to keep complete mutual consistency between the Webviews in Web warehouses. In this paper we introduce the interrelated-MVC, a new term based on the features of the Web environment. We show that it is enough to keep interrelated-MVC in Web warehouses. After that we present the algorithms which guarantee interrelated-MVC and are scaleable to the vertiginous real Web
Keywords :
Internet; data integrity; data warehouses; Web warehouse; Webview maintenance; interrelated-MVC; multiple view consistency; Data structures; Data warehouses; Decision support systems; Information analysis; Internet; Warehousing;
Conference_Titel :
Computer and Information Technology, 2005. CIT 2005. The Fifth International Conference on
Conference_Location :
Shanghai
Print_ISBN :
0-7695-2432-X
DOI :
10.1109/CIT.2005.104