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Journal of Information Science
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Article

Representing and sharing folksonomies with semantics

Hak-Lae Kim1*, Stefan Decker1, and John G. Breslin2

1 Digital Enterprise Research Institute, National University of Ireland, Galway, Ireland
2 School of Engineering and Informatics, National University of Ireland, Galway, Ireland

* To whom correspondence should be addressed. E-mail: haklae.kim{at}deri.org.


   Abstract

Websites that provide content creation and sharing features have become quite popular recently. These sites allow users to categorize and browse content using ‘tags’ or free-text keyword topics. Since users contribute and tag social media content across a variety of social web platforms, creating new knowledge from distributed tag data has become a matter of performing various tasks, including publishing, aggregating, integrating, and republishing tag data. However, there are a number of issues in relation to data sharing and interoperability when processing tag data across heterogeneous tagging platforms. In this paper we introduce a semantic tag model that aims to explicitly offer the necessary structure, semantics and relationships between tags. This approach provides an improved opportunity for representing tag data in the form of reusable constructs at a semantic level. We also demonstrate a prototype that consumes and makes use of shared tag metadata across heterogeneous sources.

First published on September 24, 2009
Journal of Information Science 2009, doi:10.1177/0165551509346785


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