The University of Southampton
University of Southampton Institutional Repository

Applying ontological engineering to ecological modelling: detection of conceptual errors

Applying ontological engineering to ecological modelling: detection of conceptual errors
Applying ontological engineering to ecological modelling: detection of conceptual errors
Despite the fact that ontologies have gained great interest by the knowledge based systems community in the recent years, there is a dearth of applications based on formal ontologies. In the paper we shed light in an undiscovered corner in the use of formal ontologies: use of ontological constraints in combination with meta-interpretation in order to reveal potential conceptual errors in specifications. We applied this approach to ecological modelling and we report here 7 potential error cases that were revealed.
s.n.
Kalfoglou, Yannis
d3d242fd-4ce2-4041-b8ea-aa3b3bec3b88
Kalfoglou, Yannis
d3d242fd-4ce2-4041-b8ea-aa3b3bec3b88

Kalfoglou, Yannis (1998) Applying ontological engineering to ecological modelling: detection of conceptual errors s.n.

Record type: Monograph (Project Report)

Abstract

Despite the fact that ontologies have gained great interest by the knowledge based systems community in the recent years, there is a dearth of applications based on formal ontologies. In the paper we shed light in an undiscovered corner in the use of formal ontologies: use of ontological constraints in combination with meta-interpretation in order to reveal potential conceptual errors in specifications. We applied this approach to ecological modelling and we report here 7 potential error cases that were revealed.

Full text not available from this repository.

More information

Published date: 1998
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 256426
URI: https://eprints.soton.ac.uk/id/eprint/256426
PURE UUID: 614eddcc-8d77-4be5-848f-15cf3079bda6

Catalogue record

Date deposited: 26 Mar 2002
Last modified: 18 Jul 2017 09:46

Export record

Contributors

Author: Yannis Kalfoglou

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 https://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.

×