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http://hdl.handle.net/10397/1324
Title: | A concept–relationship acquisition and inference approach for hierarchical taxonomy construction from tags | Authors: | Tsui, E Wang, WM Cheung, CFB Lau, SMA |
Issue Date: | 25-Jun-2009 | Source: | Information processing and management, 2009, v. 46, no. 1, p. 44-57 | Abstract: | 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 behavior 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 contrast to these prevailing approaches, this paper proposes a taxonomy construction analysis based on heuristic rules and deep syntactic analysis. The proposed method requires only a relatively small corpus to create a preliminary taxonomy. The approach has been evaluated using an expert-defined taxonomy in the environmental protection domain and encouraging results were yielded. | Keywords: | Collaborative tagging Folksonomy Natural language processing Knowledge capture Semantic web |
Publisher: | Pergamon Press | Journal: | Information processing and management | ISSN: | 0306-4573 | DOI: | 10.1016/j.ipm.2009.05.009 | Rights: | Information Processing & Management Copyright © 2009 Elsevier Ltd. The journal web site is located at http://www.sciencedirect.com. |
Appears in Collections: | Journal/Magazine Article |
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IPM3186_R2.pdf | Pre-published version | 249.52 kB | Adobe PDF | View/Open |
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