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
Recommended Citation
S. K. Madria et al., "Reducing Cognitive Overheads in a Web Warehouse using Reverse-Osmosis," Proceedings of the 7th International Conference on Parallel and Distributed Systems, 2000, Institute of Electrical and Electronics Engineers (IEEE), Jan 2000.
The definitive version is available at https://doi.org/10.1109/ICPADS.2000.857696
Meeting Name
7th International Conference on Parallel and Distributed Systems, 2000
Department(s)
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
text
Language(s)
English
Rights
© 2000 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Jan 2000
