The University of Southampton
University of Southampton Institutional Repository

Information self-organization for knowledge discovery

Information self-organization for knowledge discovery
Information self-organization for knowledge discovery
We describe new graphical user interfaces, used to facilitate navigation in information spaces. Operational use, and usability studies, are described and/or referenced. We next examine burgeoning needs in linking together on the one hand information backends and information streams; and on the other hand user needs and information representation platforms. This leads to a discussion of future perspectives in regard to middleware. Finally we overview an innovative approach to information characterization or filtering. Information retrieval by means of “semantic road maps” was first detailed in Doyle (1961). The spatial metaphor is powerful one in human information processing. The spatial metaphor also lends itself well to modern distributed computing environment such as the web. The Kohonen self-organizing map (SOM) method is an effective means towards this end of a visual information retrieval user interface. We will also provide below an illustration of web-based semantic maps based on hyperlink clustering.
Tao, Feng
3d9fc416-da70-4ee2-87c4-6ba0a1d26461
Murtagh, Fionn
b1a5f04b-d373-4403-9d29-73273f1e6ce9
Tao, Feng
3d9fc416-da70-4ee2-87c4-6ba0a1d26461
Murtagh, Fionn
b1a5f04b-d373-4403-9d29-73273f1e6ce9

Tao, Feng and Murtagh, Fionn (2000) Information self-organization for knowledge discovery. MIW'2000 International Workshop on Management of Information on the Web - Methodologies and Applications, DEXA 2000, Greenwich, London. 05 - 07 Sep 2000.

Record type: Conference or Workshop Item (Paper)

Abstract

We describe new graphical user interfaces, used to facilitate navigation in information spaces. Operational use, and usability studies, are described and/or referenced. We next examine burgeoning needs in linking together on the one hand information backends and information streams; and on the other hand user needs and information representation platforms. This leads to a discussion of future perspectives in regard to middleware. Finally we overview an innovative approach to information characterization or filtering. Information retrieval by means of “semantic road maps” was first detailed in Doyle (1961). The spatial metaphor is powerful one in human information processing. The spatial metaphor also lends itself well to modern distributed computing environment such as the web. The Kohonen self-organizing map (SOM) method is an effective means towards this end of a visual information retrieval user interface. We will also provide below an illustration of web-based semantic maps based on hyperlink clustering.

This record has no associated files available for download.

More information

Published date: 2000
Additional Information: Event Dates: 6-8 September, 2000
Venue - Dates: MIW'2000 International Workshop on Management of Information on the Web - Methodologies and Applications, DEXA 2000, Greenwich, London, 2000-09-05 - 2000-09-07
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 258154
URI: http://eprints.soton.ac.uk/id/eprint/258154
PURE UUID: b68c3ff0-b3a5-42b9-82a0-63b1539a276e

Catalogue record

Date deposited: 22 Oct 2003
Last modified: 07 Jan 2022 21:11

Export record

Contributors

Author: Feng Tao
Author: Fionn Murtagh

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×