TESTING: Integrating Folksonomies with the Semantic Web
L. Specia, and E. Motta. volume 4519/2007 of Lecture Notes in Computer Science, chapter Lecture Notes in Computer Science, page 624-639. Springer Berlin / Heidelberg, (2007)
DOI: 10.1007/978-3-540-72667-8
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 satistical 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 Specia2007
%A Specia, Lucia
%A Motta, Enrico
%B Lecture Notes in Computer Science
%D 2007
%I Springer Berlin / Heidelberg
%J 4th European Semantic Web Conference
%K folksonomy semanticweb tagging
%P 624-639
%R 10.1007/978-3-540-72667-8
%T TESTING: Integrating Folksonomies with the Semantic Web
%V 4519/2007
%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 satistical 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.
%& Lecture Notes in Computer Science
@inbook{Specia2007,
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 satistical 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 = {2007-09-28T13:46:52.000+0200},
author = {Specia, Lucia and Motta, Enrico},
biburl = {https://www.bibsonomy.org/bibtex/2c3634d8750348a7b0cc4e167724c575e/pmking},
chapter = {Lecture Notes in Computer Science},
doi = {10.1007/978-3-540-72667-8},
interhash = {76eaa5fc009bb0a8ec9a9ce083a5fa2d},
intrahash = {c3634d8750348a7b0cc4e167724c575e},
journal = {4th European Semantic Web Conference},
keywords = {folksonomy semanticweb tagging},
owner = {king},
pages = {624-639},
pdf = {C:\Documents and Settings\king\Desktop\Papers\Integrating Folksonomies with the Semantic Web.pdf},
publisher = {Springer Berlin / Heidelberg},
series = {Lecture Notes in Computer Science},
timestamp = {2007-09-28T13:46:52.000+0200},
title = {TESTING: Integrating Folksonomies with the Semantic Web},
volume = {4519/2007},
year = 2007
}