Bridging Folksonomies and Domain Ontologies: Getting Out Non-taxonomic Relations
C. Trabelsi, A. Jrad, and S. Yahia. Proceedings of the 2010 IEEE International Conference on Data Mining Workshops, page 369--379. Washington, DC, USA, IEEE Computer Society, (2010)
DOI: 10.1109/ICDMW.2010.72
Abstract
Social book marking tools are rapidly emerging on the Web as it can be witnessed by the overwhelming number of participants. In such spaces, users annotate resources by means of any keyword or tag that they find relevant, giving raise to lightweight conceptual structures aka folksonomies. In this respect, needless to mention that ontologies can be of benefit for enhancing information retrieval metrics. In this paper, we introduce a novel approach for ontology learning from a folksonomy, which provide shared vocabularies and semantic relations between tags. The main thrust of the introduced approach stands in putting the focus on the discovery of non-taxonomic relationships. The latter are often neglected, even though they are of paramount importance from a semantic point of view. The discovery process heavily relies on triadic concepts to discover and select related tags and to extract and label non-taxonomically relationships between related tags and external sources for tags filtering and non-taxonomic relationships extraction. In addition, we also discuss a new approach to evaluate obtained relations in an automatic way against WordNet repository and presents promising results for a real world folksonomy.
%0 Conference Paper
%1 trabelsi2010bridging
%A Trabelsi, Chiraz
%A Jrad, Aicha Ben
%A Yahia, Sadok Ben
%B Proceedings of the 2010 IEEE International Conference on Data Mining Workshops
%C Washington, DC, USA
%D 2010
%I IEEE Computer Society
%K folksonomies relations toread
%P 369--379
%R 10.1109/ICDMW.2010.72
%T Bridging Folksonomies and Domain Ontologies: Getting Out Non-taxonomic Relations
%U http://dx.doi.org/10.1109/ICDMW.2010.72
%X Social book marking tools are rapidly emerging on the Web as it can be witnessed by the overwhelming number of participants. In such spaces, users annotate resources by means of any keyword or tag that they find relevant, giving raise to lightweight conceptual structures aka folksonomies. In this respect, needless to mention that ontologies can be of benefit for enhancing information retrieval metrics. In this paper, we introduce a novel approach for ontology learning from a folksonomy, which provide shared vocabularies and semantic relations between tags. The main thrust of the introduced approach stands in putting the focus on the discovery of non-taxonomic relationships. The latter are often neglected, even though they are of paramount importance from a semantic point of view. The discovery process heavily relies on triadic concepts to discover and select related tags and to extract and label non-taxonomically relationships between related tags and external sources for tags filtering and non-taxonomic relationships extraction. In addition, we also discuss a new approach to evaluate obtained relations in an automatic way against WordNet repository and presents promising results for a real world folksonomy.
%@ 978-0-7695-4257-7
@inproceedings{trabelsi2010bridging,
abstract = {Social book marking tools are rapidly emerging on the Web as it can be witnessed by the overwhelming number of participants. In such spaces, users annotate resources by means of any keyword or tag that they find relevant, giving raise to lightweight conceptual structures \emph{aka} folksonomies. In this respect, needless to mention that ontologies can be of benefit for enhancing information retrieval metrics. In this paper, we introduce a novel approach for ontology learning from a \textit{folksonomy}, which provide shared vocabularies and semantic relations between tags. The main thrust of the introduced approach stands in putting the focus on the discovery of \textit{non-taxonomic} relationships. The latter are often neglected, even though they are of paramount importance from a semantic point of view. The discovery process heavily relies on triadic concepts to discover and select related tags and to extract and label non-taxonomically relationships between related tags and external sources for tags filtering and non-taxonomic relationships extraction. In addition, we also discuss a new approach to evaluate obtained relations in an automatic way against WordNet repository and presents promising results for a real world \textit{folksonomy}.},
acmid = {1934438},
added-at = {2011-08-09T11:42:21.000+0200},
address = {Washington, DC, USA},
author = {Trabelsi, Chiraz and Jrad, Aicha Ben and Yahia, Sadok Ben},
biburl = {https://www.bibsonomy.org/bibtex/226c469e5c064f050f35e4448d0224886/dbenz},
booktitle = {Proceedings of the 2010 IEEE International Conference on Data Mining Workshops},
description = {Bridging Folksonomies and Domain Ontologies},
doi = {10.1109/ICDMW.2010.72},
interhash = {4f2f573b32d29f76b348ee18d49c9ec4},
intrahash = {26c469e5c064f050f35e4448d0224886},
isbn = {978-0-7695-4257-7},
keywords = {folksonomies relations toread},
numpages = {11},
pages = {369--379},
publisher = {IEEE Computer Society},
series = {ICDMW '10},
timestamp = {2013-07-31T15:39:42.000+0200},
title = {Bridging Folksonomies and Domain Ontologies: Getting Out Non-taxonomic Relations},
url = {http://dx.doi.org/10.1109/ICDMW.2010.72},
year = 2010
}