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<p class=MsoNormal>Hi there,<o:p></o:p></p>
<p>We wrote two papers about tag ontologies. There are many efforts to bridge
between social tagging and Semantic Web technologies. Although we focused on
representation issues of tagging activities, it might be useful to know current
efforts. <o:p></o:p></p>
<p>1. Hak-Lae Kim, Alexandre Passant, John Breslin, Simon Scerri, Stefan
Decker, <strong><a
href="http://scot-project.org/pubs/kim_ReviewAlignmentTag.pdf">Review and
Alignmnet of Tag Ontologies for Semantically-Linked Data in Collaborative
Tagging Spaces</a></strong>, In Proceedings of the 2nd International Conference
on Semantic Computing, San Francisco, USA, 2008.<o:p></o:p></p>
<p><strong>Abstract</strong>. As the number of Web 2.0 sites offering tagging
facilities for the users’ voluntary content annotation increases, so do the
efforts to analyze social phenomena resulting from generated tagging and
folksonomies. Most of these efforts provide different views for the
understanding of various web activities. Results from various experimental
research should be utilized to improve existing approaches underlying tagging
data and contribute further to weaving the Web. However, in practice, there are
not enough solutions taking advantage of these results. Even though we can mine
social relations via tagging data, it proves no worth for users if this data
cannot be reused.<o:p></o:p></p>
<p>In this paper we propose a solution for tag data representation which allows
data reuse across different tagging systems. To achieve this goal, we analyze
current social tagging practices, existing folksonomy usage as well as Semantic
Web approaches to data annotation and tagging. We survey and compare existing
tag ontologies in an attempt to investigate mapping possibilities between
different conceptual models. Finally, we present our method for federation
among existing ontologies in order to generate re-usable, semantically-linked
data that will underly tagging data.<o:p></o:p></p>
<p>2. Hak-Lae Kim, Simon Scerri, John Breslin, Stefan Decker, Hong-Gee Kim, <strong><a
href="http://scot-project.org/pubs/Kim_TagOnt.pdf">The State of the Art in Tag
Ontologies: A Semantic Model for Tagging and Folksonomies</a></strong>, In
Proceedings of the International Conference on Dublin Core and Metadata
Applications, Berlin, Germany, 2008.<o:p></o:p></p>
<p>Abstract. There is a growing interest on how we represent and share tagging
data for the purpose of collaborative tagging systems. Conventional tags are
not naturally suited for collaborative processes. Being free-text keywords,
they are exposed to linguistic variations like case (upper vs lower),
grammatical number (singular vs. plural) as well as human typing errors.
Additionally, tags depend on the personal views of the world by individual
users, and are not normalized for synonymy, morphology or any other mapping.
The bottom line of the problem is that tags have no semantics whatsoever.
Moreover, even if a user gives some semantics to a tag while using or viewing
it, this meaning is not automatically shared with computers since it’s not
defined in a machine-readable way. With tagging systems increasing in
popularity each day, the evolution of this technology is hindered by this
problem, since tagging metadata is not readily generated and shared. In this
paper we discuss approaches to represent collaborative tagging activities at a
semantic level, and present conceptual models for collaborative tagging activities
and folksonomies. We present criteria for the comparison of existing tag
ontologies and discuss their strengths and weaknesses in relation to these
criteria. <o:p></o:p></p>
<p class=MsoNormal>Kind Regards,<o:p></o:p></p>
<p class=MsoNormal>Hak Lae.<o:p></o:p></p>
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