The University of Southampton
University of Southampton Institutional Repository

Location based semantic annotation for ward analysis

Location based semantic annotation for ward analysis
Location based semantic annotation for ward analysis
Semantic annotation has been used to combine varied information sources – gathered as unobtrusively as possible – and produce enhanced tools for working with digital resources. In this paper we describe trials carried out using a location tracking system and Semantic Web annotation technologies to analyse activities in a simulated ward environment. The motivation for semantic annotation of the space will be outlined along with the practicalities of the location based tracking system. The integration of location, annotations and video information will be discussed together with the technologies and approaches applicability to use in a real ward environment
Weal, Mark Jj
e8fd30a6-c060-41c5-b388-ca52c81032a4
Michaelides, Danius T.
a6df5175-d71a-4cd4-befc-26c48235fb92
Page, Kevin R.
f9b006ae-e59e-4607-8279-487d80419f59
De Roure, David C.
02879140-3508-4db9-a7f4-d114421375da
Gobbi, Mary
829a5669-2d52-44ef-be96-bc57bf20bea0
Monger, Eloise
38e8d3f2-e364-4d50-8542-6fc8cf096481
Martinez, Fernando
a90d1372-718f-48b2-a840-4f36e5ef35cc
Weal, Mark Jj
e8fd30a6-c060-41c5-b388-ca52c81032a4
Michaelides, Danius T.
a6df5175-d71a-4cd4-befc-26c48235fb92
Page, Kevin R.
f9b006ae-e59e-4607-8279-487d80419f59
De Roure, David C.
02879140-3508-4db9-a7f4-d114421375da
Gobbi, Mary
829a5669-2d52-44ef-be96-bc57bf20bea0
Monger, Eloise
38e8d3f2-e364-4d50-8542-6fc8cf096481
Martinez, Fernando
a90d1372-718f-48b2-a840-4f36e5ef35cc

Weal, Mark Jj, Michaelides, Danius T., Page, Kevin R., De Roure, David C., Gobbi, Mary, Monger, Eloise and Martinez, Fernando (2009) Location based semantic annotation for ward analysis At 3rd International Conference on Pervasive Computing Technologies for Healthcare 2009. 01 - 03 Apr 2009.

Record type: Conference or Workshop Item (Other)

Abstract

Semantic annotation has been used to combine varied information sources – gathered as unobtrusively as possible – and produce enhanced tools for working with digital resources. In this paper we describe trials carried out using a location tracking system and Semantic Web annotation technologies to analyse activities in a simulated ward environment. The motivation for semantic annotation of the space will be outlined along with the practicalities of the location based tracking system. The integration of location, annotations and video information will be discussed together with the technologies and approaches applicability to use in a real ward environment

Full text not available from this repository.

More information

Published date: 2009
Venue - Dates: 3rd International Conference on Pervasive Computing Technologies for Healthcare 2009, 2009-04-01 - 2009-04-03

Identifiers

Local EPrints ID: 72378
URI: http://eprints.soton.ac.uk/id/eprint/72378
PURE UUID: 636987a9-e67f-493e-8154-ddf42b50f703
ORCID for Mark Jj Weal: ORCID iD orcid.org/0000-0001-6251-8786
ORCID for David C. De Roure: ORCID iD orcid.org/0000-0001-9074-3016
ORCID for Eloise Monger: ORCID iD orcid.org/0000-0003-2799-0596

Catalogue record

Date deposited: 11 Feb 2010
Last modified: 18 Jul 2017 23:54

Export record

Contributors

Author: Mark Jj Weal ORCID iD
Author: Danius T. Michaelides
Author: Kevin R. Page
Author: David C. De Roure ORCID iD
Author: Mary Gobbi
Author: Eloise Monger ORCID iD
Author: Fernando Martinez

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.

×