FOLCOM or the costs of tagging
FOLCOM or the costs of tagging
This paper introduces FOLCOM, a FOLksonomy Cost estimatiOn Method that uses a story-points-approach to quantitatively assess the efforts that are cumulatively associated with tagging a collection of information objects by a community of users. The method was evaluated through individual, face-to-face structured interviews with eight knowledge management experts from several large ICT enterprises interested in either adopting tagging internally as a knowledge management solution, or just in tangible evidence of its added value. As a second theme of our evaluation, we calibrated the parameters of the method based on data collected from a series of six user experiments, reaching a promising prediction accuracy within a margin of ±25% in 75% of the cases.
978-3-642-16437-8
163-177
Simperl, E.
40261ae4-c58c-48e4-b78b-5187b10e4f67
Bürger, T.
80ffe746-772b-4faa-8477-caa58829729f
Hofer, C.
163e7cb5-e236-4ba7-87f1-b6ea76c41def
2010
Simperl, E.
40261ae4-c58c-48e4-b78b-5187b10e4f67
Bürger, T.
80ffe746-772b-4faa-8477-caa58829729f
Hofer, C.
163e7cb5-e236-4ba7-87f1-b6ea76c41def
Simperl, E., Bürger, T. and Hofer, C.
(2010)
FOLCOM or the costs of tagging.
17th International Knowledge Acquisition Conference (EKAW2010), Lisbon, Portugal.
11 - 15 Oct 2010.
.
(doi:10.1007/978-3-642-16438-5_12).
Record type:
Conference or Workshop Item
(Paper)
Abstract
This paper introduces FOLCOM, a FOLksonomy Cost estimatiOn Method that uses a story-points-approach to quantitatively assess the efforts that are cumulatively associated with tagging a collection of information objects by a community of users. The method was evaluated through individual, face-to-face structured interviews with eight knowledge management experts from several large ICT enterprises interested in either adopting tagging internally as a knowledge management solution, or just in tangible evidence of its added value. As a second theme of our evaluation, we calibrated the parameters of the method based on data collected from a series of six user experiments, reaching a promising prediction accuracy within a margin of ±25% in 75% of the cases.
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Published date: 2010
Venue - Dates:
17th International Knowledge Acquisition Conference (EKAW2010), Lisbon, Portugal, 2010-10-11 - 2010-10-15
Organisations:
Web & Internet Science
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Local EPrints ID: 351620
URI: http://eprints.soton.ac.uk/id/eprint/351620
ISBN: 978-3-642-16437-8
PURE UUID: a4bd98e9-9a48-46d1-964b-a05d97d2a51b
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Date deposited: 29 Apr 2013 15:13
Last modified: 14 Mar 2024 13:41
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Author:
T. Bürger
Author:
C. Hofer
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