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http://hdl.handle.net/10397/4595
Title: | TaxoFolk : a hybrid taxonomy–folksonomy classification for enhanced knowledge navigation | Authors: | Kiu, CC Tsui, E |
Issue Date: | Mar-2010 | Source: | Knowledge management research & practice, Mar. 2010, v. 8, no. 1, p. 24-32 | Abstract: | Taxonomy is widely used in many of the website and directory navigation schemes for content/knowledge retrieval. However, information or content navigation support through taxonomy is often constrained due to its inability to take into account the full nomenclature and cultural nuances of knowledge seekers. The emergence and increasing adoption of collaborative tagging (social bookmarking) tools have provided lightweight and informal conceptual structures called folksonomies for knowledge retrieval. As for folksonomies, they reflect the vocabulary of the users. Hence, integrating folksonomies into a taxonomy combines the best of the two schemes as the resultant structure enhances taxonomy navigation with personsalisation for knowledge search and retrieval. This paper presents TaxoFolk, an algorithm for deriving hybrid taxonomy-folksonomy classification for enhanced knowledge navigation. The algorithm integrates folksonomy with a taxonomy through several unsupervised data mining techniques with augmented heuristics. | Keywords: | Knowledge navigation Folksonomy Taxonomy Taxonomy-folksonomy integration Collaborative tagging |
Publisher: | Palgrave Macmillan | Journal: | Knowledge management research & practice | ISSN: | 1477-8238 | DOI: | 10.1057/kmrp.2009.33 | Rights: | © 2010 Operational Research Society Ltd. This is a post-peer-review, pre-copyedit version of an article published in Knowledge Management Research & Practice. The definitive publisher-authenticated version C.C. Kiu and E. Tsui (2010), TaxoFolk: a hybrid taxonomy–folksonomy classification for enhanced knowledge navigation, 8(1), 24–32 is available online at: http://www.palgrave-journals.com/kmrp/journal/v8/n1/full/kmrp200933a.html. |
Appears in Collections: | Journal/Magazine Article |
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KMRP paper.pdf | Pre-published version | 444.6 kB | Adobe PDF | View/Open |
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