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Integrating Folksonomies with the Semantic Web

Proceedings of the European Semantic Web Conference (ESWC2007), 4519: 624-639, 2007.
Authors: Lucia Specia and Enrico Motta
Editors: Enrico Franconi and Michael Kifer and Wolfgang May
URL: http://www.eswc2007.org/pdf/eswc07-specia.pdf
Tags: clustering ontologies tagging
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 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 showed 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.
| URL | BibTeX  
@inproceedings{specia07eswc,
title = {Integrating Folksonomies with the Semantic Web},
address = {Berlin Heidelberg, Germany},
author = {Lucia Specia and Enrico Motta},
booktitle = {Proceedings of the European Semantic Web Conference (ESWC2007)},
editor = {Enrico Franconi and Michael Kifer and Wolfgang May},
month = {July},
pages = {624-639},
publisher = {Springer-Verlag},
series = {LNCS},
url = {http://www.eswc2007.org/pdf/eswc07-specia.pdf},
volume = {4519},
year = {2007},
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 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 showed 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.},
keywords = {clustering ontologies tagging }
}