Reducing cognitive overheads in a web warehouse using reverse-osmosis

• Main Authors: BHOWMICK, Sourav S., NG, Wee-Keong, LIM, Ee Peng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2000
• Subjects: Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/1009
• Institution: Singapore Management University

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 irrelevant information from a collection of web documents stored in the form of a web table. We call such operation reverse-osmosis because it is analogous to the reverse osmosis process in the field of water purification. We discuss formal algorithm of reverse-osmosis operation.