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. In, IADIS Web Applications and Research 2006 (WAR2006), online, 15 - 19 May 2006.

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Description/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.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Event Dates: 15 – 19 May
Keywords: Folksonomy, Keyword Extraction, Tags, Semantics
Divisions: Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Web & Internet Science
ePrint ID: 264292
Date Deposited: 10 Jul 2007
Last Modified: 27 Mar 2014 20:08
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/264292

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