While tags in collaborative tagging systems serve primarily an indexing
purpose, facilitating search and navigation of resources, the use
of the same tags by more than one individual can yield a collective
classification schema. We present an approach for making explicit
the semantics behind the tag space in social tagging systems, so
that this collaborative organization can emerge in the form of groups
of concepts and partial ontologies. This is achieved by using a
combination of shallow pre-processing strategies and statistical
techniques together with knowledge provided by ontologies available
on the semantic web. Preliminary results on the del.icio.us and
Flickr tag sets show that the approach is very promising: it generates
clusters with highly related tags corresponding to concepts in ontologies
and meaningful relationships among subsets of these tags can be
identified.
%0 Book Section
%1 SM07
%A Specia, Lucia
%A Motta, Enrico
%B The Semantic Web: Research and Applications
%D 2007
%I Springer
%J The Semantic Web: Research and Applications
%K database discovery folksonomy ontology semantic semanticweb
%P 624--639
%R 10.1007/978-3-540-72667-8_44
%T Integrating Folksonomies with the Semantic Web
%U http://dx.doi.org/10.1007/978-3-540-72667-8_44
%X While tags in collaborative tagging systems serve primarily an indexing
purpose, facilitating search and navigation of resources, the use
of the same tags by more than one individual can yield a collective
classification schema. We present an approach for making explicit
the semantics behind the tag space in social tagging systems, so
that this collaborative organization can emerge in the form of groups
of concepts and partial ontologies. This is achieved by using a
combination of shallow pre-processing strategies and statistical
techniques together with knowledge provided by ontologies available
on the semantic web. Preliminary results on the del.icio.us and
Flickr tag sets show that the approach is very promising: it generates
clusters with highly related tags corresponding to concepts in ontologies
and meaningful relationships among subsets of these tags can be
identified.
@incollection{SM07,
abstract = {While tags in collaborative tagging systems serve primarily an indexing
purpose, facilitating search and navigation of resources, the use
of the same tags by more than one individual can yield a collective
classification schema. We present an approach for making explicit
the semantics behind the tag space in social tagging systems, so
that this collaborative organization can emerge in the form of groups
of concepts and partial ontologies. This is achieved by using a
combination of shallow pre-processing strategies and statistical
techniques together with knowledge provided by ontologies available
on the semantic web. Preliminary results on the del.icio.us and
Flickr tag sets show that the approach is very promising: it generates
clusters with highly related tags corresponding to concepts in ontologies
and meaningful relationships among subsets of these tags can be
identified.},
added-at = {2007-09-07T17:29:28.000+0200},
author = {Specia, Lucia and Motta, Enrico},
biburl = {https://www.bibsonomy.org/bibtex/234381d70e41d14650d67b55ddc4a053b/mchaves},
booktitle = {The Semantic Web: Research and Applications},
citeulike-article-id = {1450024},
doi = {10.1007/978-3-540-72667-8_44},
interhash = {b828fbd5c9ddc4f9551f973445ecb283},
intrahash = {34381d70e41d14650d67b55ddc4a053b},
journal = {The Semantic Web: Research and Applications},
keywords = {database discovery folksonomy ontology semantic semanticweb},
pages = {624--639},
priority = {3},
publisher = {Springer},
timestamp = {2007-09-07T17:29:44.000+0200},
title = {Integrating Folksonomies with the Semantic Web},
url = {http://dx.doi.org/10.1007/978-3-540-72667-8_44},
year = 2007
}