Social semantic cloud of tags: semantic model for folksonomies
Hak-Lae Kim,
John Breslin,
Hong-Gee Kim and
Jae-Hwa Choi
Knowledge Management Research & Practice, 2010, vol. 8, issue 3, 193-202
Abstract:
A growing number of tagging applications have begun to provide users the ability to socialise their own keywords. Tagging, which assigns a set of keywords to resources, has become a powerful way for organising, browsing, and publicly sharing personal collections of resources on the Web. It is called folksonomies. These systems on current social websites, however, have deficiencies in defining tag's meaning, and are often blocked to users in order to reuse, share, and exchange the tags across heterogeneous websites. In this paper, we describe a semantic model for expressing folksonomies in social websites. This model, called Social Semantic Cloud of Tags, aims to provide a consistent format of representing folksonomies and some features in terms of tagging activities. We describe core concepts and relevant properties such as a popularity and usage of tags, along with deduced relationships between tags. We will discuss how this model helps to reduce drawbacks regarding tag sharing between users, applications, or folksonomies.
Date: 2010
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1057/kmrp.2010.10 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:tkmrxx:v:8:y:2010:i:3:p:193-202
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tkmr20
DOI: 10.1057/kmrp.2010.10
Access Statistics for this article
Knowledge Management Research & Practice is currently edited by Giovanni Schiuma
More articles in Knowledge Management Research & Practice from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().