The University of Southampton
University of Southampton Institutional Repository

Navigation Over a Large Ontology for Industrial Web Applications

Navigation Over a Large Ontology for Industrial Web Applications
Navigation Over a Large Ontology for Industrial Web Applications
Ontologies for industrial semantic web applications are often very large. This is especially true in scientific and engineering applications where there exists a large pool of technical terminology necessary for operation within the domain. In this paper we look at the problem of presenting this domain ontology to users for navigation within web applications. The conventional tree view can be considered to be cumbersome and awkward to navigate for ontologies that have a very large breadth and/or depth. We present three approaches to this ontology presentation problem—content dependent filtering, autocompletion text box and partial segments using drop-down lists. All the approaches attempt to limit the ontology presented to users at one time. We implemented two of the proposed methods of ontology presentation in our demonstrators, and have received positive and valuable feedback from engineers.
Crowder, Richard
ddeb646d-cc9e-487b-bd84-e1726d3ac023
Wilson, Max L.
b34ab988-f78f-47bd-bf34-1a36be06b488
Fowler, David
a4661fcb-397e-4a6a-a288-608e1bca3333
Shadbolt, Nigel
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7
Wills, Gary
3a594558-6921-4e82-8098-38cd8d4e8aa0
Wong, Sylvia
6ee6971e-6182-4c62-955c-50fcffe276d9
Crowder, Richard
ddeb646d-cc9e-487b-bd84-e1726d3ac023
Wilson, Max L.
b34ab988-f78f-47bd-bf34-1a36be06b488
Fowler, David
a4661fcb-397e-4a6a-a288-608e1bca3333
Shadbolt, Nigel
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7
Wills, Gary
3a594558-6921-4e82-8098-38cd8d4e8aa0
Wong, Sylvia
6ee6971e-6182-4c62-955c-50fcffe276d9

Crowder, Richard, Wilson, Max L., Fowler, David, Shadbolt, Nigel, Wills, Gary and Wong, Sylvia (2009) Navigation Over a Large Ontology for Industrial Web Applications. International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, San Diago, CA, United States. 30 Aug - 02 Sep 2009.

Record type: Conference or Workshop Item (Paper)

Abstract

Ontologies for industrial semantic web applications are often very large. This is especially true in scientific and engineering applications where there exists a large pool of technical terminology necessary for operation within the domain. In this paper we look at the problem of presenting this domain ontology to users for navigation within web applications. The conventional tree view can be considered to be cumbersome and awkward to navigate for ontologies that have a very large breadth and/or depth. We present three approaches to this ontology presentation problem—content dependent filtering, autocompletion text box and partial segments using drop-down lists. All the approaches attempt to limit the ontology presented to users at one time. We implemented two of the proposed methods of ontology presentation in our demonstrators, and have received positive and valuable feedback from engineers.

Text
DETC2009-86544_final.pdf - Version of Record
Download (488kB)

More information

Published date: September 2009
Additional Information: Event Dates: 30 August to 2 September 2009
Venue - Dates: International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, San Diago, CA, United States, 2009-08-30 - 2009-09-02
Organisations: Web & Internet Science, Agents, Interactions & Complexity, Electronic & Software Systems

Identifiers

Local EPrints ID: 267918
URI: http://eprints.soton.ac.uk/id/eprint/267918
PURE UUID: 626bddb1-0947-4e79-8b4b-a8c4cdc40d49
ORCID for Gary Wills: ORCID iD orcid.org/0000-0001-5771-4088

Catalogue record

Date deposited: 21 Sep 2009 12:55
Last modified: 15 Mar 2024 02:51

Export record

Contributors

Author: Richard Crowder
Author: Max L. Wilson
Author: David Fowler
Author: Nigel Shadbolt
Author: Gary Wills ORCID iD
Author: Sylvia Wong

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.

×