The University of Southampton
University of Southampton Institutional Repository

Link integrity for the Semantic Web

Link integrity for the Semantic Web
Link integrity for the Semantic Web
The usefulness and usability of data on the Semantic Web is ultimately reliant on the ability of clients to retrieve Resource Description Framework (RDF) data from the Web. When RDF data is unavailable clients reliant on that data may either fail to function entirely or behave incorrectly. As a result there is a need to investigate and develop techniques that aim to ensure that some data is still retrievable, even in the event that the primary source of the data is unavailable. Since this problem is essentially the classic link integrity problem from hypermedia and the Web we look at the range of techniques that have been suggested by past research and attempt to adapt these to the Semantic Web.

Having studied past research we identified two potentially promising strategies for solving the problem: 1) Replication and Preservation; and 2) Recovery. Using techniques developed to implement these strategies for hypermedia and the Web as a starting point we designed our own implementations which adapted these appropriately for the Semantic Web. We describe the design, implementation and evaluation of our adaptations before going on to discuss the implications of the usage of such techniques. In this research we show that such approaches can be used to successfully apply link integrity to the Semantic Web for a variety of datasets on the Semantic Web but that further research is needed before such solutions can be widely deployed.
Vesse, Robert
ad2be6fd-e4a5-46ef-8680-7e6b912896e4
Vesse, Robert
ad2be6fd-e4a5-46ef-8680-7e6b912896e4
Hall, Wendy
11f7f8db-854c-4481-b1ae-721a51d8790c
Carr, Leslie
0572b10e-039d-46c6-bf05-57cce71d3936

(2012) Link integrity for the Semantic Web. University of Southampton, Faculty of Applied Sciemce, Doctoral Thesis, 195pp.

Record type: Thesis (Doctoral)

Abstract

The usefulness and usability of data on the Semantic Web is ultimately reliant on the ability of clients to retrieve Resource Description Framework (RDF) data from the Web. When RDF data is unavailable clients reliant on that data may either fail to function entirely or behave incorrectly. As a result there is a need to investigate and develop techniques that aim to ensure that some data is still retrievable, even in the event that the primary source of the data is unavailable. Since this problem is essentially the classic link integrity problem from hypermedia and the Web we look at the range of techniques that have been suggested by past research and attempt to adapt these to the Semantic Web.

Having studied past research we identified two potentially promising strategies for solving the problem: 1) Replication and Preservation; and 2) Recovery. Using techniques developed to implement these strategies for hypermedia and the Web as a starting point we designed our own implementations which adapted these appropriately for the Semantic Web. We describe the design, implementation and evaluation of our adaptations before going on to discuss the implications of the usage of such techniques. In this research we show that such approaches can be used to successfully apply link integrity to the Semantic Web for a variety of datasets on the Semantic Web but that further research is needed before such solutions can be widely deployed.

PDF
Rob Vesse - Thesis - Final Version.pdf - Other
Download (2MB)

More information

Published date: December 2012
Organisations: University of Southampton, Electronics & Computer Science

Identifiers

Local EPrints ID: 346394
URI: http://eprints.soton.ac.uk/id/eprint/346394
PURE UUID: 5a8b00c9-5aac-4455-bd6e-c6b6873a8411
ORCID for Wendy Hall: ORCID iD orcid.org/0000-0003-4327-7811
ORCID for Leslie Carr: ORCID iD orcid.org/0000-0002-2113-9680

Catalogue record

Date deposited: 26 Feb 2013 15:07
Last modified: 06 Jun 2018 13:20

Export record

Contributors

Author: Robert Vesse
Thesis advisor: Wendy Hall ORCID iD
Thesis advisor: Leslie Carr ORCID iD

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.

×