Reducing Cognitive Overheads in a Web Warehouse using Reverse-Osmosis

Sanjay Kumar Madria; Wee Keong Ng; Ee-Peng Lim; Sourav S. Bhowmick

doi:10.1109/ICPADS.2000.857696

Reducing Cognitive Overheads in a Web Warehouse using Reverse-Osmosis

Sanjay Kumar Madria
, Wee Keong Ng
, Ee-Peng Lim
, Sourav S. Bhowmick

Computer Science

Research output: Contribution to journal › Conference article › peer-review

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

Original language	English
Article number	857696
Pages (from-to)	171-178
Number of pages	8
Journal	Proceedings of the 7th International Conference on Parallel and Distributed Systems, 2000
DOIs	https://doi.org/10.1109/ICPADS.2000.857696 https://doi.org/10.1109/ICPADS.2000.857696
State	Published - Jan 1 2000
Event	1999 lnternational Workshops on Parallel Processing, ICPP 1999 - Aizu-Wakamatsu, Japan Duration: Sep 24 1999 → …

ASJC Scopus Subject Areas

Software
General Mathematics
Hardware and Architecture

Keywords

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

Disciplines

Computer Sciences

Access to Document

10.1109/ICPADS.2000.857696License: Unspecified
10.1109/ICPADS.2000.857696

Reducing Cognitive Overheads in a Web Warehouse using Reverse-OsmFinal published version, 809 KBLicense: Unspecified

Cite this

@article{9b10288bf6d749fa964472f4e57cbc65,

title = "Reducing Cognitive Overheads in a Web Warehouse using Reverse-Osmosis",

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

author = "Madria, \{Sanjay Kumar\} and Ng, \{Wee Keong\} and Ee-Peng Lim and Bhowmick, \{Sourav S.\}",

note = "Publisher Copyright: {\textcopyright} 2000 IEEE; 1999 lnternational Workshops on Parallel Processing, ICPP 1999 ; Conference date: 24-09-1999",

year = "2000",

month = jan,

day = "1",

doi = "10.1109/ICPADS.2000.857696",

language = "English",

pages = "171--178",

journal = "Proceedings of the 7th International Conference on Parallel and Distributed Systems, 2000",

}

TY - JOUR

T1 - Reducing Cognitive Overheads in a Web Warehouse using Reverse-Osmosis

AU - Madria, Sanjay Kumar

AU - Ng, Wee Keong

AU - Lim, Ee-Peng

AU - Bhowmick, Sourav S.

PY - 2000/1/1

Y1 - 2000/1/1

N2 - 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

AB - 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

KW - Cognitive Overhead Reduction

KW - Data Warehouses

KW - Formal Algorithm

KW - Information Resources

KW - Information Retrieval

KW - Quantitative Analysis

KW - Reverse Osmosis

KW - Web Documents

KW - Web Table

KW - Web Warehouse

UR - https://scholarsmine.mst.edu/comsci_facwork/208

U2 - 10.1109/ICPADS.2000.857696

DO - 10.1109/ICPADS.2000.857696

M3 - Conference article

SP - 171

EP - 178

JO - Proceedings of the 7th International Conference on Parallel and Distributed Systems, 2000

JF - Proceedings of the 7th International Conference on Parallel and Distributed Systems, 2000

M1 - 857696

T2 - 1999 lnternational Workshops on Parallel Processing, ICPP 1999

Y2 - 24 September 1999

ER -

Reducing Cognitive Overheads in a Web Warehouse using Reverse-Osmosis

Abstract

ASJC Scopus Subject Areas

Keywords

Disciplines

Access to Document

Other files and links

Fingerprint

Cite this