FolksOntology: An Integrated Approach for Turning Folksonomies into
Ontologies
C. Damme, M. Hepp, и K. Siorpaes. Bridging the Gep between Semantic Web and Web 2.0 (SemNet 2007), стр. 57-70. (2007)
Аннотация
We can observe that the amount of non-toy domain ontologies is still
very limited for many areas of interest. In contrast, folksonomies
are widely in use for (1) tagging Web pages (e.g. del.icio.us), (2)
annotating pictures (e.g. flickr), or (3) classifying scholarly publications
(e.g. bibsonomy). However, such folksonomies cannot offer the expressivity
of ontologies, and the respective tags often lack a context-independent
and intersubjective definition of meaning. Also, folksonomies and
other unsupervised vocabularies frequently suffer from inconsistencies
and redundancies. In this paper, we argue that the social interaction
manifested in folksonomies and in their usage should be exploited
for building and maintaining ontologies. Then, we sketch a comprehensive
approach for deriving ontologies from folksonomies by integrating
multiple resources and techniques. In detail, we suggest combining
(1) the statistical analysis of folksonomies, associated usage data,
and their implicit social networks, (2) online lexical resources
like dictionaries, Wordnet, Google and Wikipedia, (3) ontologies
and Semantic Web resources, (4) ontology mapping and matching approaches,
and (5) functionality that helps human actors in achieving and maintaining
consensus over ontology element suggestions resulting from the preceding
steps.
%0 Conference Paper
%1 DaHS07
%A Damme, Céline Van
%A Hepp, Martin
%A Siorpaes, Katharina
%B Bridging the Gep between Semantic Web and Web 2.0 (SemNet 2007)
%D 2007
%K 2007 DISS ezweb folksonomy ontology ontology_problems ontologyproblems ontologyunderstanding tagging_comparison tagging_convergence tagging_efficiency tagging_problems toread
%P 57-70
%T FolksOntology: An Integrated Approach for Turning Folksonomies into
Ontologies
%U http://www.kde.cs.uni-kassel.de/ws/eswc2007/proc/FolksOntology.pdf
%X We can observe that the amount of non-toy domain ontologies is still
very limited for many areas of interest. In contrast, folksonomies
are widely in use for (1) tagging Web pages (e.g. del.icio.us), (2)
annotating pictures (e.g. flickr), or (3) classifying scholarly publications
(e.g. bibsonomy). However, such folksonomies cannot offer the expressivity
of ontologies, and the respective tags often lack a context-independent
and intersubjective definition of meaning. Also, folksonomies and
other unsupervised vocabularies frequently suffer from inconsistencies
and redundancies. In this paper, we argue that the social interaction
manifested in folksonomies and in their usage should be exploited
for building and maintaining ontologies. Then, we sketch a comprehensive
approach for deriving ontologies from folksonomies by integrating
multiple resources and techniques. In detail, we suggest combining
(1) the statistical analysis of folksonomies, associated usage data,
and their implicit social networks, (2) online lexical resources
like dictionaries, Wordnet, Google and Wikipedia, (3) ontologies
and Semantic Web resources, (4) ontology mapping and matching approaches,
and (5) functionality that helps human actors in achieving and maintaining
consensus over ontology element suggestions resulting from the preceding
steps.
@inproceedings{DaHS07,
abstract = {We can observe that the amount of non-toy domain ontologies is still
very limited for many areas of interest. In contrast, folksonomies
are widely in use for (1) tagging Web pages (e.g. del.icio.us), (2)
annotating pictures (e.g. flickr), or (3) classifying scholarly publications
(e.g. bibsonomy). However, such folksonomies cannot offer the expressivity
of ontologies, and the respective tags often lack a context-independent
and intersubjective definition of meaning. Also, folksonomies and
other unsupervised vocabularies frequently suffer from inconsistencies
and redundancies. In this paper, we argue that the social interaction
manifested in folksonomies and in their usage should be exploited
for building and maintaining ontologies. Then, we sketch a comprehensive
approach for deriving ontologies from folksonomies by integrating
multiple resources and techniques. In detail, we suggest combining
(1) the statistical analysis of folksonomies, associated usage data,
and their implicit social networks, (2) online lexical resources
like dictionaries, Wordnet, Google and Wikipedia, (3) ontologies
and Semantic Web resources, (4) ontology mapping and matching approaches,
and (5) functionality that helps human actors in achieving and maintaining
consensus over ontology element suggestions resulting from the preceding
steps.},
added-at = {2008-08-13T11:35:46.000+0200},
author = {Damme, Céline Van and Hepp, Martin and Siorpaes, Katharina},
biburl = {https://www.bibsonomy.org/bibtex/2ace5ff38dde26e6c9dbf9db4e31e6546/michael},
booktitle = {Bridging the Gep between Semantic Web and Web 2.0 (SemNet 2007)},
file = {DaHS07.pdf:folksonomies\\DaHS07.pdf:PDF},
interhash = {c8d1bcaa606229417f1c3f0f27c5f0e0},
intrahash = {ace5ff38dde26e6c9dbf9db4e31e6546},
keywords = {2007 DISS ezweb folksonomy ontology ontology_problems ontologyproblems ontologyunderstanding tagging_comparison tagging_convergence tagging_efficiency tagging_problems toread},
pages = {57-70},
timestamp = {2008-08-13T11:35:54.000+0200},
title = {FolksOntology: An Integrated Approach for Turning Folksonomies into
Ontologies},
url = {http://www.kde.cs.uni-kassel.de/ws/eswc2007/proc/FolksOntology.pdf},
year = 2007
}