The University of Southampton
University of Southampton Institutional Repository

Location based semantic annotation for ward analysis

Weal, Mark J., 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 (Paper)


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.

PDF PerHealth09.pdf - Accepted Manuscript
Download (2MB)

More information

Published date: 1 April 2009
Additional Information: Event Dates: 1-3 April 2009
Venue - Dates: 3rd International Conference on Pervasive Computing Technologies for Healthcare 2009, 2009-04-01 - 2009-04-03
Organisations: Web & Internet Science


Local EPrints ID: 267148
PURE UUID: a877add3-252b-412d-89f6-833a6b04f523
ORCID for Mark J. Weal: ORCID iD
ORCID for David C. De Roure: ORCID iD

Catalogue record

Date deposited: 02 Mar 2009 10:06
Last modified: 18 Jul 2017 07:07

Export record


Author: Mark J. Weal ORCID iD
Author: Danius T. Michaelides
Author: Kevin R. Page
Author: David C. De Roure ORCID iD
Author: Mary Gobbi
Author: Eloise Monger
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 supports OAI 2.0 with a base URL of

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.