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http://dx.doi.org/10.13088/jiis.2011.17.4.059

CTKOS : Categorized Tag-based Knowledge Organization System  

Yoo, Dong-Hee (Department of Information Science Korea Military Academy)
Kim, Gun-Woo (Department of Business Administration Hanbat National University)
Choi, Keun-Ho (Korea University Business School)
Suh, Yong-Moo (Korea University Business School)
Publication Information
Journal of Intelligence and Information Systems / v.17, no.4, 2011 , pp. 59-74 More about this Journal
Abstract
As more users are willingly participating in the creation of web contents, flat folksonomy using simple tags has emerged as a powerful instrument to classify and share a huge amount of knowledge on the web. However, flat folksonomy has semantic problems, such as ambiguity and misunderstanding of tags. To alleviate such problems, many studies have built structured folksonomy with a hierarchical structure or relationships among tags. However, structured folksonomy also has some fundamental problems, such as limited tagging to pre-defined vocabulary for new tags and the timeconsuming manual effort required for selecting tags. To resolve these problems, we suggested a new method of attaching a categorized tag (CT), followed by its category, to web content. CTs are automatically integrated into collaboratively-built structured folksonomy (CSF) in real time, reflecting the tag-and-category relationships by majority users. Then, we developed a CT-based knowledge organization system (CTKOS), which builds the CSF to classify organizational knowledge and allows us to locate the appropriate knowledge.
Keywords
폭소노미;태그;웹2.0;집단지성;지식조직체계;
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