Multi-Agent Architecture for Internet Information Extraction and Visualization

The World Wide Web is one of the largest sources of information; more and more applications are being developed daily to make use of this information. This thesis presents a multi-agent architecture that deals with some of the issues related to Internet data extraction. The primary issue addresses the reliable, efficient and quick extraction of data through the use of HTTP performance monitoring agents. A second issue focuses on how to make use of available data to take decisions and alert the user when there is change in data; this is done with the help of user agents that are equipped with a Defeasible reasoning interpreter. An additional issue is the visualization of extracted data; this is done with the aid of VRML visualization agents. The cited issues are discussed using stock portfolio management as an example application.

Grantor dc:publisher

University of North Texas

Year dc:date

2000

Author dc:creator

• Gollapally, Devender R.

Contributors dc:contributor

• Tarau, Paul
• Boukerche, Azzedine
• Jacob, Roy T.

• Information retrieval.
• Internet.
• World Wide Web
• multi-agent architecture
• user agents
• Internet
• data extraction

Statement dc:rights

• Use restricted to UNT Community
• Copyright
• Gollapally, Devender R.
• Copyright is held by the author, unless otherwise noted. All rights reserved.

Language dc:language

English

Identifier

oclc: 47284115
untcat: b2303012
https://digital.library.unt.edu/ark:/67531/metadc2575/
ark: ark:/67531/metadc2575

OAI identifier oai:identifier

info:ark/67531/metadc2575