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 ...

• Type: Journal
• Year: 2010
• Where: IPM
• Authors: Eric Tsui, W. M. Wang, Chi Fai Cheung, Adela S. M. Lau
• Keywords: IPM 2010, Tags, Taxonomy, Taxonomy Construction