An Integrated Approach to Extracting Ontological Structures from Folksonomies
H. Lin, J. Davis, and Y. Zhou. The Semantic Web: Research and Applications, volume 5554 of Lecture Notes in Computer Science, Springer, Berlin / Heidelberg, (2009)
DOI: 10.1007/978-3-642-02121-3_48
Abstract
Collaborative tagging systems have recently emerged as one of the rapidly growing web 2.0 applications. The informal social classification structure in these systems, also known as folksonomy, provides a convenient way to annotate resources by allowing users to use any keyword or tag that they find relevant. In turn, the flat and non-hierarchical structure with unsupervised vocabularies leads to low search precision and poor resource navigation and retrieval. This drawback has created the need for ontological structures which provide shared vocabularies and semantic relations for translating and integrating the different sources. In this paper, we propose an integrated approach for extracting ontological structure from folksonomies that exploits the power of low support association rule mining supplemented by an upper ontology such as WordNet.
%0 Book Section
%1 lin2009integrateda
%A Lin, Huairen
%A Davis, Joseph
%A Zhou, Ying
%B The Semantic Web: Research and Applications
%C Berlin / Heidelberg
%D 2009
%E Aroyo, Lora
%E Traverso, Paolo
%E Ciravegna, Fabio
%E Cimiano, Philipp
%E Heath, Tom
%E Hyvönen, Eero
%E Mizoguchi, Riichiro
%E Oren, Eyal
%E Sabou, Marta
%E Simperl, Elena
%I Springer
%K ol_web2.0 methods_concepts methods_concepthierarchy
%P 654-668
%R 10.1007/978-3-642-02121-3_48
%T An Integrated Approach to Extracting Ontological Structures from Folksonomies
%U http://dx.doi.org/10.1007/978-3-642-02121-3_48
%V 5554
%X Collaborative tagging systems have recently emerged as one of the rapidly growing web 2.0 applications. The informal social classification structure in these systems, also known as folksonomy, provides a convenient way to annotate resources by allowing users to use any keyword or tag that they find relevant. In turn, the flat and non-hierarchical structure with unsupervised vocabularies leads to low search precision and poor resource navigation and retrieval. This drawback has created the need for ontological structures which provide shared vocabularies and semantic relations for translating and integrating the different sources. In this paper, we propose an integrated approach for extracting ontological structure from folksonomies that exploits the power of low support association rule mining supplemented by an upper ontology such as WordNet.
@incollection{lin2009integrateda,
abstract = {Collaborative tagging systems have recently emerged as one of the rapidly growing web 2.0 applications. The informal social classification structure in these systems, also known as folksonomy, provides a convenient way to annotate resources by allowing users to use any keyword or tag that they find relevant. In turn, the flat and non-hierarchical structure with unsupervised vocabularies leads to low search precision and poor resource navigation and retrieval. This drawback has created the need for ontological structures which provide shared vocabularies and semantic relations for translating and integrating the different sources. In this paper, we propose an integrated approach for extracting ontological structure from folksonomies that exploits the power of low support association rule mining supplemented by an upper ontology such as WordNet.},
added-at = {2011-02-17T17:42:42.000+0100},
address = {Berlin / Heidelberg},
affiliation = {The University of Sydney School of Information Technologies Australia},
author = {Lin, Huairen and Davis, Joseph and Zhou, Ying},
biburl = {https://www.bibsonomy.org/bibtex/2d6e768c5a4d0ac6dd667339c44607777/dbenz},
booktitle = {The Semantic Web: Research and Applications},
description = {SpringerLink - Abstract},
doi = {10.1007/978-3-642-02121-3_48},
editor = {Aroyo, Lora and Traverso, Paolo and Ciravegna, Fabio and Cimiano, Philipp and Heath, Tom and Hyvönen, Eero and Mizoguchi, Riichiro and Oren, Eyal and Sabou, Marta and Simperl, Elena},
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keywords = {ol_web2.0 methods_concepts methods_concepthierarchy},
pages = {654-668},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
timestamp = {2013-07-31T15:39:42.000+0200},
title = {An Integrated Approach to Extracting Ontological Structures from Folksonomies},
url = {http://dx.doi.org/10.1007/978-3-642-02121-3_48},
username = {dbenz},
volume = 5554,
year = 2009
}