Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/1324
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Industrial and Systems Engineering | - |
dc.contributor | School of Nursing | - |
dc.creator | Tsui, E | en_US |
dc.creator | Wang, WM | en_US |
dc.creator | Cheung, CFB | en_US |
dc.creator | Lau, SMA | en_US |
dc.date.accessioned | 2014-12-11T08:24:26Z | - |
dc.date.available | 2014-12-11T08:24:26Z | - |
dc.identifier.issn | 0306-4573 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/1324 | - |
dc.language.iso | en | en_US |
dc.publisher | Pergamon Press | en_US |
dc.rights | Information Processing & Management Copyright © 2009 Elsevier Ltd. The journal web site is located at http://www.sciencedirect.com. | en_US |
dc.subject | Collaborative tagging | en_US |
dc.subject | Folksonomy | en_US |
dc.subject | Natural language processing | en_US |
dc.subject | Knowledge capture | en_US |
dc.subject | Semantic web | en_US |
dc.title | A concept–relationship acquisition and inference approach for hierarchical taxonomy construction from tags | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.description.otherinformation | Author name used in this publication: W. M. Wang | en_US |
dc.description.otherinformation | Author name used in this publication: C. F. Cheung | en_US |
dc.description.otherinformation | Author name used in this publication: Adela S. M. Lau | en_US |
dc.identifier.spage | 44 | en_US |
dc.identifier.epage | 57 | en_US |
dc.identifier.volume | 46 | en_US |
dc.identifier.doi | 10.1016/j.ipm.2009.05.009 | en_US |
dcterms.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. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Information processing and management, 2009, v. 46, no. 1, p. 44-57 | en_US |
dcterms.isPartOf | Information processing and management | en_US |
dcterms.issued | 2009-06-25 | - |
dc.identifier.isi | WOS:000271709400004 | - |
dc.identifier.scopus | 2-s2.0-70349991301 | - |
dc.identifier.rosgroupid | r47941 | - |
dc.description.ros | 2009-2010 > Academic research: refereed > Publication in refereed journal | - |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | OA_IR/PIRA | en_US |
dc.description.pubStatus | Published | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
IPM3186_R2.pdf | Pre-published version | 249.52 kB | Adobe PDF | View/Open |
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