Collective taxonomizing: A collaborative approach to organizing document repositories

被引:13
作者
Wu, Harris [1 ]
Gordon, Michael D. [2 ]
Fan, Weiguo [3 ]
机构
[1] Old Dominion Univ, Norfolk, VA 23508 USA
[2] Univ Michigan, Ann Arbor, MI 48109 USA
[3] Virginia Polytech Inst & State Univ, Blacksburg, VA 24061 USA
基金
美国国家科学基金会;
关键词
Collective taxonomizing; Web; 2.0; Design science; Structural knowledge; Knowledge management; INFORMATION; ALGORITHMS; KNOWLEDGE; SCIENCE; DESIGN;
D O I
10.1016/j.dss.2010.08.031
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Keeping large, growing document repositories organized is a critical challenge. For example, the security failure prior to the 9/11 tragedy was partly due to the ineffectiveness of organizing documents shared among various intelligence organizations. Drawing on the success of Web 2.0 and theories from knowledge management, we argue that a shared document repository with no central organizer may benefit from collective taxonomizing: allowing community members to categorize documents with local document hierarchies and systematically coalesce those local hierarchies into a global taxonomy. Using a design science approach, we develop and evaluate a hierarchy coalescing algorithm. Empirical and analytical evaluation shows promise. (C) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码:292 / 303
页数:12
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