The University of Southampton
University of Southampton Institutional Repository

FOLKSONOMIES VERSUS AUTOMATIC KEYWORD EXTRACTION: AN EMPIRICAL STUDY

Al-Khalifa, Hend S. and Davis, Hugh C. (2006) FOLKSONOMIES VERSUS AUTOMATIC KEYWORD EXTRACTION: AN EMPIRICAL STUDY At IADIS Web Applications and Research 2006 (WAR2006). 15 - 19 May 2006.

Record type: Conference or Workshop Item (Paper)

Abstract

This paper reports on an evaluation of the keywords produced by Yahoo API context-based term extractor compared to a folksonomy set for the same website. The evaluation process is made in two ways: automatically, by measuring the percentage of overlap between the folksonomy set and Yahoo keywords set; and subjectively, by asking a human indexer to rate the quality of the generated keywords from both systems. The result of the experiment will be considered as an evidence for the rich semantics of folksonomies, thus, they can be used in generating “Semantic Metadata” for annotating web resources stored in del.icio.us.

PDF IADIS_FvK_2006.pdf - Other
Download (418kB)

More information

Published date: 2006
Additional Information: Event Dates: 15 – 19 May
Venue - Dates: IADIS Web Applications and Research 2006 (WAR2006), 2006-05-15 - 2006-05-19
Keywords: Folksonomy, Keyword Extraction, Tags, Semantics
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 264292
URI: http://eprints.soton.ac.uk/id/eprint/264292
PURE UUID: 24aecd94-860e-47e7-b6b1-d8b63b412097
ORCID for Hugh C. Davis: ORCID iD orcid.org/0000-0002-1182-1459

Catalogue record

Date deposited: 10 Jul 2007
Last modified: 18 Jul 2017 07:37

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.

×