Folksonomies meet ontologies in ARSMETEO: from social
descriptions of artifacts to emotional concepts
M. Baldoni, C. Baroglio, A. Horváth, V. Patti,
F. Portis, M. Avilia, and P. Grillo.
Abstract:
This work focusses on bridging between folksonomies, which provide social
but mainly flat and unstructured metadata on web resources, and semantic
web ontologies, which instead design structured, machine-processable
knowledge spaces. The main purpose is to capture emerging semantics in
social tagging systems and to overcome the gap between Semantic Web and Web
2.0, by preserving the complementary advantages of social and
ontology-driven methods for describing, categorizing and processing web
content. As a way to bridge this gap, we propose a method for linking tags
from a folksonomy to concepts of an existing ontology, adopting a statistic
approach. We have applied the proposed method to the data collected through
the art portal Arsmeteo, relating them to the concepts of an OWL ontology
of emotions. Intuitively, by our method we try to capture the latent
emotional semantics of the tags. Some of the artworks in Arsmeteo could be
visited in real exhibitions. In order to capture the emotional potential of
the tagging activity during the visit, we explored the possibility to
enable tagging of artifacts in real spaces, by using Semacode
technology.
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András Horváth, 2008-06-25