Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/23951
DC FieldValueLanguage
dc.contributorDepartment of Industrial and Systems Engineering-
dc.creatorKiu, CC-
dc.creatorTsui, E-
dc.date.accessioned2015-05-26T08:11:27Z-
dc.date.available2015-05-26T08:11:27Z-
dc.identifier.issn0957-4174-
dc.identifier.urihttp://hdl.handle.net/10397/23951-
dc.language.isoenen_US
dc.publisherPergamon Pressen_US
dc.subjectFolksonomyen_US
dc.subjectKnowledge classificationen_US
dc.subjectKnowledge navigationen_US
dc.subjectTaxonomyen_US
dc.subjectTaxonomy-folksonomy integrationen_US
dc.subjectWeb 2.0en_US
dc.titleTaxoFolk : a hybrid taxonomy-folksonomy structure for knowledge classification and navigationen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage6049-
dc.identifier.epage6058-
dc.identifier.volume38-
dc.identifier.issue5-
dc.identifier.doi10.1016/j.eswa.2010.11.014-
dcterms.abstractWith 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 In addition, the terms of the taxonomy become outdated very fast which in turn compromises the efficiency and effectiveness of knowledge classification and navigation.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.-
dcterms.bibliographicCitationExpert systems with applications, 2011, v. 38, no. 5, p. 6049-6058-
dcterms.isPartOfExpert systems with applications-
dcterms.issued2011-
dc.identifier.isiWOS:000287419900157-
dc.identifier.scopus2-s2.0-79151477119-
dc.identifier.eissn1873-6793-
dc.identifier.rosgroupidr51203-
dc.description.ros2010-2011 > Academic research: refereed > Publication in refereed journal-
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