Measuring the Semantic Value of Folksonomies
Measuring the Semantic Value of Folksonomies
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.
Folksonomy, Keyword Extraction, Tags, Semantics
Al-Khalifa, Hend S.
b464bced-9859-47ef-829a-4675dfdba01e
Davis, Hugh C.
1608a3c8-0920-4a0c-82b3-ee29a52e7c1b
2006
Al-Khalifa, Hend S.
b464bced-9859-47ef-829a-4675dfdba01e
Davis, Hugh C.
1608a3c8-0920-4a0c-82b3-ee29a52e7c1b
Al-Khalifa, Hend S. and Davis, Hugh C.
(2006)
Measuring the Semantic Value of Folksonomies.
the Second International IEEE Conference on Innovations in Information Technology, Dubai, UAE.
17 - 21 Nov 2006.
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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.
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Published date: 2006
Additional Information:
Event Dates: November 17-21
Venue - Dates:
the Second International IEEE Conference on Innovations in Information Technology, Dubai, UAE, 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
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Date deposited: 07 Nov 2006
Last modified: 15 Mar 2024 02:36
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Contributors
Author:
Hend S. Al-Khalifa
Author:
Hugh C. Davis
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