[TagCommons-WG] papers about tag ontologies

[Kim, Haklae]

Hi there,

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. 

1. Hak-Lae Kim, Alexandre Passant, John Breslin, Simon Scerri, Stefan
Decker, Review and Alignmnet of Tag Ontologies for Semantically-Linked
Data in Collaborative Tagging Spaces
<http://scot-project.org/pubs/kim_ReviewAlignmentTag.pdf> , In
Proceedings of the 2nd International Conference on Semantic Computing,
San Francisco, USA, 2008.

Abstract. 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.

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.

2. Hak-Lae Kim, Simon Scerri, John Breslin, Stefan Decker, Hong-Gee Kim,
The State of the Art in Tag Ontologies: A Semantic Model for Tagging and
Folksonomies <http://scot-project.org/pubs/Kim_TagOnt.pdf> , In
Proceedings of the International Conference on Dublin Core and Metadata
Applications, Berlin, Germany, 2008.

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. 

Kind Regards,

Hak Lae.

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