DocumentCode :
2257216
Title :
Reducing cognitive overheads in a Web warehouse using reverse-osmosis
Author :
Bhowmick, Souravs ; Ria, Sanjayma D. ; Wee-Keong Ng ; Lim, Ee-pengl
Author_Institution :
Centre for Adv. Inf. Syst., Nanyang Technol. Univ., Singapore
fYear :
2000
fDate :
2000
Firstpage :
171
Lastpage :
178
Abstract :
This paper provides a quantitative analysis of reducing cognitive overheads in a Web warehouse using an important class of operation called reverse osmosis. The analysis is used to examine two different cognitive overheads of locating relevant nodes or information and display time of a Web table. A reverse-osmosis operation enables us to eliminate in relevant information from a collection of Web documents stored in the form of a Web table. We call such an operation reverse-osmosis because it is analogous to the reverse osmosis process in the field of water purification. We discuss a formal algorithm of the reverse-osmosis operation
Keywords :
data warehouses; information resources; information retrieval; Web documents; Web table; Web warehouse; cognitive overhead reduction; formal algorithm; quantitative analysis; reverse osmosis; Algorithm design and analysis; Biomembranes; Data analysis; Displays; Information analysis; Reverse osmosis; Warehousing; Water pollution; Water resources; Web sites;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel and Distributed Systems, 2000. Proceedings. Seventh International Conference on
Conference_Location :
Iwate
ISSN :
1521-9097
Print_ISBN :
0-7695-0568-6
Type :
conf
DOI :
10.1109/ICPADS.2000.857696
Filename :
857696
Link To Document :
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