The University of Southampton
University of Southampton Institutional Repository

Measuring the Semantic Value of Folksonomies

Al-Khalifa, Hend S. and Davis, Hugh C. (2006) Measuring the Semantic Value of Folksonomies At the Second International IEEE Conference on Innovations in Information Technology. 17 - 21 Nov 2006.

Record type: Conference or Workshop Item (Paper)

Abstract

Semantic Metadata, which describes the meaning of documents, can be produced either manually or else semi-automatically using information extraction techniques. Manual techniques are expensive if they rely on skilled cataloguers, but a possible alternative is to make use of community produced annotations such as those collected in folksonomies. This paper reports on an experiment that we carried out to validate the assumption that folksonomies carry more semantic value than keywords extracted by machines. The experiment has been carried-out in two ways: automatically, by measuring the percentage of overlap between the folksonomy set and machine generated keywords set; and subjectively, by asking a human indexer to evaluate the quality of the generated keywords from both systems. The result of the experiment can be considered as evidence for the rich semantics of folksonomies, demonstrating that folksonomies used in the del.icio.us bookmarking service can be used in the process of generating semantic metadata to annotate web resources.

PDF final_measuring.pdf - Other
Download (220kB)

More information

Published date: 2006
Additional Information: Event Dates: November 17-21
Venue - Dates: the Second International IEEE Conference on Innovations in Information Technology, 2006-11-17 - 2006-11-21
Keywords: Folksonomy, Keyword Extraction, Tags, Semantics
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 263159
URI: http://eprints.soton.ac.uk/id/eprint/263159
PURE UUID: ab9c3ad0-9cba-4d27-93d8-d1ec05aa2387
ORCID for Hugh C. Davis: ORCID iD orcid.org/0000-0002-1182-1459

Catalogue record

Date deposited: 07 Nov 2006
Last modified: 18 Jul 2017 08:43

Export record

Contributors

Author: Hend S. Al-Khalifa
Author: Hugh C. Davis 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.

×