MAKING FOLKSONOMY MACHINE-UNDERSTANDABLE

Prabodh Shrestha and Leva Zhou
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Prabodh Shrestha: Information Systems, University of Maryland, Baltimore County, 1000 Hilltop Circle Baltimore, MD 21250, USA
Leva Zhou: Information Systems, University of Maryland, Baltimore County, 1000 Hilltop Circle Baltimore, MD 21250, USA

Chapter 13 in Challenges in Information Technology Management, 2008, pp 83-90 from World Scientific Publishing Co. Pte. Ltd.

Abstract: AbstractA recent surge of interest in social tagging, also known as folksonomy, challenges the formal and structured knowledge representation in the Semantic Web. Social tagging is attractive in its low barrier to entry and personal and community aspects. However, the benefits of social tagging come at the cost of reduced machine-understandable and reduce effectiveness in information retrieval and organization. To address the above limitations, we propose a framework, UNITAG, to enhance existing social tagging systems with semantic information. It is shown that the framework facilitates information sharing in folksonomy while retaining the usability of folksonomy.

Keywords: Information Technology; Knowledge Management; Computing (search for similar items in EconPapers)
Date: 2008
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