Reducing Cognitive Overheads in a Web Warehouse using Reverse-Osmosis

Sanjay Kumar Madria, Missouri University of Science and Technology
Wee Keong Ng
Ee-Peng Lim
Sourav S. Bhowmick

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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