The University of Southampton
University of Southampton Institutional Repository

From sensors to semantic web: the SemsorGrid4env project

From sensors to semantic web: the SemsorGrid4env project
From sensors to semantic web: the SemsorGrid4env project
Sensor networks are producing large quantities of valuable data around the planet. However advances are needed in the information management of such systems in order to make it easier to find and obtain the data. This is particularly true of software systems or models which need to automatically find appropriate data sources. The SemsorGrid4Env project is a three year European project to develop an integrated information space where new sensor network data sources can be discovered using web technologies and semantic descriptions. Rapid development of decision support systems are being developed within the context of ocean monitoring for flood and fire warnings. These are based around large quantities of sensors around the southern coast of the UK as well as a new sensor network deployment in forests in Spain. This paper will describe the design of the system, data integration issues, mashups and semantic interfaces.
Martinez, K.
5f711898-20fc-410e-a007-837d8c57cb18
DeRoure, D.
02879140-3508-4db9-a7f4-d114421375da
Page, K.
f9b006ae-e59e-4607-8279-487d80419f59
Sadler, J.
857a8e67-cfe3-489b-9f3a-3ccbc0d3930f
Hutton, C.
9102617b-caf7-4538-9414-c29e72f5fe2e
Newman, R.
71d2347d-ca35-4589-b44e-d7e5c919dfe7
Roe, S.
86293a6f-1b43-46a9-88b2-6d75e10e8eff
Martinez, K.
5f711898-20fc-410e-a007-837d8c57cb18
DeRoure, D.
02879140-3508-4db9-a7f4-d114421375da
Page, K.
f9b006ae-e59e-4607-8279-487d80419f59
Sadler, J.
857a8e67-cfe3-489b-9f3a-3ccbc0d3930f
Hutton, C.
9102617b-caf7-4538-9414-c29e72f5fe2e
Newman, R.
71d2347d-ca35-4589-b44e-d7e5c919dfe7
Roe, S.
86293a6f-1b43-46a9-88b2-6d75e10e8eff

Martinez, K., DeRoure, D., Page, K., Sadler, J., Hutton, C., Newman, R. and Roe, S. (2009) From sensors to semantic web: the SemsorGrid4env project. AGU Fall Meeting Abstracts.

Record type: Conference or Workshop Item (Paper)

Abstract

Sensor networks are producing large quantities of valuable data around the planet. However advances are needed in the information management of such systems in order to make it easier to find and obtain the data. This is particularly true of software systems or models which need to automatically find appropriate data sources. The SemsorGrid4Env project is a three year European project to develop an integrated information space where new sensor network data sources can be discovered using web technologies and semantic descriptions. Rapid development of decision support systems are being developed within the context of ocean monitoring for flood and fire warnings. These are based around large quantities of sensors around the southern coast of the UK as well as a new sensor network deployment in forests in Spain. This paper will describe the design of the system, data integration issues, mashups and semantic interfaces.

This record has no associated files available for download.

More information

Published date: December 2009
Venue - Dates: AGU Fall Meeting Abstracts, 2009-12-01
Organisations: Electronics & Computer Science, Geography & Environment

Identifiers

Local EPrints ID: 373933
URI: http://eprints.soton.ac.uk/id/eprint/373933
PURE UUID: 7104041f-6659-4126-b7d5-6ecc05fe2580
ORCID for K. Martinez: ORCID iD orcid.org/0000-0003-3859-5700
ORCID for D. DeRoure: ORCID iD orcid.org/0000-0001-9074-3016
ORCID for J. Sadler: ORCID iD orcid.org/0000-0001-8260-6812
ORCID for C. Hutton: ORCID iD orcid.org/0000-0002-5896-756X

Catalogue record

Date deposited: 30 Jan 2015 12:53
Last modified: 12 Dec 2021 03:13

Export record

Contributors

Author: K. Martinez ORCID iD
Author: D. DeRoure ORCID iD
Author: K. Page
Author: J. Sadler ORCID iD
Author: C. Hutton ORCID iD
Author: R. Newman
Author: S. Roe

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.

×