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2010

A concept-relationship acquisition and inference approach for hierarchical taxonomy construction from tags

9 years 9 months ago
A concept-relationship acquisition and inference approach for hierarchical taxonomy construction from tags
Taxonomy construction is a resource-demanding, top down, and time consuming effort. It does not always cater for the prevailing context of the captured information. This paper proposes a novel approach to automatically convert tags into a hierarchical taxonomy. Folksonomy describes the process by which many users add metadata in the form of keywords or tags to shared content. Using folksonomy as a knowledge source for nominating tags, the proposed method first converts the tags into a hierarchy. This serves to harness a core set of taxonomy terms; the generated hierarchical structure facilitates users‟ information navigation behaviour and permits personalizations. Newly acquired tags are then progressively integrated into a taxonomy in a largely automated way to complete the taxonomy creation process. Common taxonomy construction techniques are based on 3 main approaches: clustering, lexico-syntactic pattern matching, and automatic acquisition from machine-readable dictionaries. In ...
Eric Tsui, W. M. Wang, Chi Fai Cheung, Adela S. M.
Added 28 Jan 2011
Updated 28 Jan 2011
Type Journal
Year 2010
Where IPM
Authors Eric Tsui, W. M. Wang, Chi Fai Cheung, Adela S. M. Lau
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