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

Meeting Name

7th International Conference on Parallel and Distributed Systems, 2000


Computer Science

Keywords and Phrases

Web Documents; Web Table; Web Warehouse; Cognitive Overhead Reduction; Data Warehouses; Formal Algorithm; Information Resources; Information Retrieval; Quantitative Analysis; Reverse Osmosis

Document Type

Article - Conference proceedings

Document Version

Final Version

File Type





© 2000 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

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