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research-article

TaxoFolk

Authors:

Ching-Chieh Kiu,

Eric TsuiAuthors Info & Claims

Expert Systems with Applications: An International Journal, Volume 38, Issue 5

Pages 6049 - 6058

https://doi.org/10.1016/j.eswa.2010.11.014

Published: 01 May 2011 Publication History

Abstract

Research highlights This paper presents taxonomy and folksonomy integration algorithm, namely TaxoFolk to integrate the folksonomy into a taxonomy to enhance knowledge classification and navigation. The TaxoFolk algorithm comprises of data mining techniques, namely formal concept analysis (FCA), ID3 classification and simple matching coefficients (SMC). The conducted experiments have ascertained the most appropriate thresholds values for effective building of TaxoFolk structure. With the emergence of Web 2.0, user-generated metadata or so-called folksonomies facilitates management of digital content in the World Wide Web. The folksonomies have increasingly become a viable alternative for knowledge seekers to classify their knowledge (resources) and navigate the resources. Traditionally, in expert systems, taxonomy has been fulfilling these roles. However, in a taxonomy, the taxonomic structures are defined by the taxonomists or professional experts of the domain which often do not reflect user vocabulary. In addition, the terms of the taxonomy become outdated very fast which in turn compromises the efficiency and effectiveness of knowledge classification and navigation. On the other hand, maintenance of the taxonomy is time consuming and exhausted. This paper presents taxonomy and folksonomy integration algorithm, namely TaxoFolk to integrate the folksonomy into a taxonomy to enhance knowledge classification and navigation. The output is a hybrid taxonomy-folksonomy structure. The TaxoFolk algorithm comprises of data mining techniques, namely formal concept analysis (FCA), ID3 classification and simple matching coefficients (SMC). Three different taxonomy domains and its folksonomy are used to setup the experiments to identify and to evaluate the threshold values for filtering infrequent tags and invalid tags to automate the TaxoFolk algorithm to integrate a filtered folksonomy with a pre-defined taxonomy for enhancing knowledge navigation. The conducted experiments have ascertained the most appropriate thresholds values for effective building of TaxoFolk structure.

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Cited By

Yang YZhang P(2017)Analyzing patterns of contribution to user‐generated tag hierarchies based on core user typesProceedings of the Association for Information Science and Technology10.1002/pra2.2017.1450540117754:1(835-837)Online publication date: 24-Oct-2017
Yoo HKim S(2016)ESOTAGMultimedia Tools and Applications10.1007/s11042-016-3404-475:20(12795-12813)Online publication date: 1-Oct-2016
https://dl.acm.org/doi/10.1007/s11042-016-3404-4
Allen DSchneider T(2013)The role of the community in a technical support communityProceedings of the 5th international conference on Online Communities and Social Computing10.1007/978-3-642-39371-6_38(335-344)Online publication date: 21-Jul-2013
https://dl.acm.org/doi/10.1007/978-3-642-39371-6_38
Show More Cited By

TaxoFolk
1. Information systems

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Information

Published In

cover image Expert Systems with Applications: An International Journal

Expert Systems with Applications: An International Journal Volume 38, Issue 5

May, 2011

1744 pages

ISSN:0957-4174

Issue’s Table of Contents

Copyright © Elsevier Ltd.

Publisher

Pergamon Press, Inc.

United States

Publication History

Published: 01 May 2011

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Cited By

Yang YZhang P(2017)Analyzing patterns of contribution to user‐generated tag hierarchies based on core user typesProceedings of the Association for Information Science and Technology10.1002/pra2.2017.1450540117754:1(835-837)Online publication date: 24-Oct-2017
Yoo HKim S(2016)ESOTAGMultimedia Tools and Applications10.1007/s11042-016-3404-475:20(12795-12813)Online publication date: 1-Oct-2016
https://dl.acm.org/doi/10.1007/s11042-016-3404-4
Allen DSchneider T(2013)The role of the community in a technical support communityProceedings of the 5th international conference on Online Communities and Social Computing10.1007/978-3-642-39371-6_38(335-344)Online publication date: 21-Jul-2013
https://dl.acm.org/doi/10.1007/978-3-642-39371-6_38
Nagarajan SGanesh KResmi AAnbuudaysankar SHemachitra R(2012)Design for taxonomy and technology architecture for knowledge management solution implementationInternational Journal of Business Information Systems10.1504/IJBIS.2012.04889011:2(180-214)Online publication date: 1-Aug-2012
https://dl.acm.org/doi/10.1504/IJBIS.2012.048890
Trattner CKörner CHelic D(2011)Enhancing the navigability of social tagging systems with tag taxonomiesProceedings of the 11th International Conference on Knowledge Management and Knowledge Technologies10.1145/2024288.2024310(1-8)Online publication date: 7-Sep-2011
https://dl.acm.org/doi/10.1145/2024288.2024310

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