The University of Southampton
×
Filter your search:
University of Southampton Institutional Repository

Multiuse of Oceanographic Data on the Semantic Web

Multiuse of Oceanographic Data on the Semantic Web
Multiuse of Oceanographic Data on the Semantic Web
Collaborative Ocean is an initiative to build a semantic web infrastructure to enable marine scientists to collaboratively publish their resources on the semantic web to assist multi use of the ocean data. We borrow concepts and technologies in the semantic web and adopt the Agile Knowledge Engineering (AKE) methodology to enable collaborative knowledge engineering in ocean resource management.
sensor network, semantic web, marine data interoprobability, metadata, ontology
Tao, Feng (Barry)
b7ed4e92-3192-4396-9ba5-b158ad2cc665
Campbell, Jon
ccdf3dec-f651-4d59-96d7-41859f78abe5
Griffiths, Gwyn
a0447dd5-c7cd-4bc9-b945-0da7ab236a08
Tao, Feng (Barry)
b7ed4e92-3192-4396-9ba5-b158ad2cc665
Campbell, Jon
ccdf3dec-f651-4d59-96d7-41859f78abe5
Griffiths, Gwyn
a0447dd5-c7cd-4bc9-b945-0da7ab236a08

Tao, Feng (Barry), Campbell, Jon and Griffiths, Gwyn (2008) Multiuse of Oceanographic Data on the Semantic Web. NERC Technology Forum 2008, Oban, Scotland. 12 - 14 May 2008.

Record type: Conference or Workshop Item (Poster)

Abstract

Collaborative Ocean is an initiative to build a semantic web infrastructure to enable marine scientists to collaboratively publish their resources on the semantic web to assist multi use of the ocean data. We borrow concepts and technologies in the semantic web and adopt the Agile Knowledge Engineering (AKE) methodology to enable collaborative knowledge engineering in ocean resource management.

Slideshow
poster for SAMS - office 97-2003.ppt - Version of Record
Download (3MB)

More information

Published date: 15 July 2008
Venue - Dates: NERC Technology Forum 2008, Oban, Scotland, 2008-05-12 - 2008-05-14
Related URLs:
Keywords: sensor network, semantic web, marine data interoprobability, metadata, ontology
Learn more about Electronics & Computer Science research

Identifiers

Local EPrints ID: 54098
URI: http://eprints.soton.ac.uk/id/eprint/54098
PURE UUID: 43e1edb9-d894-40fe-9874-4161579ad0fe

Catalogue record

Date deposited: 15 Jul 2008
Last modified: 21 Oct 2022 16:46

Export record

Contributors

Author: Feng (Barry) Tao
Author: Jon Campbell
Author: Gwyn Griffiths

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

Library staff additional information
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.

×