The University of Southampton
University of Southampton Institutional Repository

Applying mSpace interfaces to the Semantic Web - working paper

Applying mSpace interfaces to the Semantic Web - working paper
Applying mSpace interfaces to the Semantic Web - working paper
Ontologies can represent large, multidimensional spaces: classical music, research in computer science in the UK, health care for breast cancer are examples of rich domains. There have been no easy ways to represent meaningful slices through these multidimensional spaces to privilege the parts of the domain that are of interest to a given user. mSpace, an interaction model we describe here, is particularly suited to ontology-based interaction because it is designed to expose and support exploration of relations in a domain. In this paper we propose the formalism for this interaction model to support mapping this kind of user-determined interaction onto a high dimensional space represented by an ontology. The model provides semantic web designers with a means for rapidly prototyping and interrogating the data represented by an ontology. It also and provides a fast, effective UI alternative to keyword search and browsing for users to explore the domain space while maintaining domain context.
Interaction, Semantic Web
Gibbins, Nicholas
98efd447-4aa7-411c-86d1-955a612eceac
Harris, Stephen
a204fb8c-c838-4fc9-b248-0dbced721eeb
Dix, Alan
00204a50-26b1-4932-b296-92848d292684
schraefel, mc
ac304659-1692-47f6-b892-15113b8c929f
Gibbins, Nicholas
98efd447-4aa7-411c-86d1-955a612eceac
Harris, Stephen
a204fb8c-c838-4fc9-b248-0dbced721eeb
Dix, Alan
00204a50-26b1-4932-b296-92848d292684
schraefel, mc
ac304659-1692-47f6-b892-15113b8c929f

Gibbins, Nicholas, Harris, Stephen, Dix, Alan and schraefel, mc (2004) Applying mSpace interfaces to the Semantic Web - working paper

Record type: Monograph (Project Report)

Abstract

Ontologies can represent large, multidimensional spaces: classical music, research in computer science in the UK, health care for breast cancer are examples of rich domains. There have been no easy ways to represent meaningful slices through these multidimensional spaces to privilege the parts of the domain that are of interest to a given user. mSpace, an interaction model we describe here, is particularly suited to ontology-based interaction because it is designed to expose and support exploration of relations in a domain. In this paper we propose the formalism for this interaction model to support mapping this kind of user-determined interaction onto a high dimensional space represented by an ontology. The model provides semantic web designers with a means for rapidly prototyping and interrogating the data represented by an ontology. It also and provides a fast, effective UI alternative to keyword search and browsing for users to explore the domain space while maintaining domain context.

Text
mspace-model-workingpaper.pdf - Other
Download (765kB)

More information

Published date: 2004
Keywords: Interaction, Semantic Web
Organisations: Web & Internet Science, Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 260027
URI: http://eprints.soton.ac.uk/id/eprint/260027
PURE UUID: 4e3c816e-0400-47ff-9c8b-11f78be043bb
ORCID for Nicholas Gibbins: ORCID iD orcid.org/0000-0002-6140-9956
ORCID for mc schraefel: ORCID iD orcid.org/0000-0002-9061-7957

Catalogue record

Date deposited: 12 Oct 2004
Last modified: 15 Mar 2024 03:16

Export record

Contributors

Author: Nicholas Gibbins ORCID iD
Author: Stephen Harris
Author: Alan Dix
Author: mc schraefel ORCID iD

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.

×