The University of Southampton
University of Southampton Institutional Repository

Initiating Organizational Memories using Ontology-based Network Analysis as a Bootstrapping Tool

Alani, Harith, Kalfoglou, Yannis, O'Hara, Kieron and Shadbolt, Nigel, Coenen, Frans(ed.) (2002) Initiating Organizational Memories using Ontology-based Network Analysis as a Bootstrapping Tool Expert Update, 5, (3), pp. 43-53.

Record type: Article

Abstract

An important problem for many kinds of knowledge systems is their initial set-up. It is difficult to choose the right information to include in such systems, and the right information is also a prerequisite for maximizing the uptake and relevance. To tackle this problem, most developers adopt heavyweight solutions and rely on a faithful continuous interaction with users to create and improve content. In this paper, we explore the use of an automatic, lightweight ontology-based solution to the bootstrapping problem, in which domain-describing ontologies are analysed to uncover significant yet implicit relationships between instances. We illustrate the approach by using such an analysis to provide content automatically for the initial set-up of an organizational memory.

PDF ExpertUpdate-Soton-final.pdf - Other
Download (3MB)

More information

Published date: 2002
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 257254
URI: http://eprints.soton.ac.uk/id/eprint/257254
ISSN: 1465-4091
PURE UUID: fd098e41-42e1-4a9a-a61d-174f5fbbda78

Catalogue record

Date deposited: 25 Jun 2003
Last modified: 18 Jul 2017 09:39

Export record

Contributors

Author: Harith Alani
Author: Yannis Kalfoglou
Author: Kieron O'Hara
Author: Nigel Shadbolt
Editor: Frans Coenen

University divisions

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.

×