Fensel, D.; Lausen, H.; Polleres, A.; Bruijn, J. D.; Stollberg, M.; Roman, D. & Domingue, J. (Hrsg.): Enabling Semantic Web Services: The Web Service Modeling Ontology. Heidelberg: Springer-Verlag, 2006
@book{ISBN:3540345191,,
title = {Enabling Semantic Web Services: The Web Service Modeling Ontology},
editor = {Fensel, Dieter and Lausen, Holger and Polleres, Axel and Bruijn, Jos De and Stollberg, Michael and Roman, Dumitru and Domingue, John},
publisher = {Springer-Verlag},
address = {Heidelberg},
year = {2006},
isbn = {3540345191},
keywords = {2006 deri semanticwebservices turruta-eswc2008 wsmo wsmx}
}
Hepp, M.; Bachlechner, D. & Siorpaes, K.: Harvesting Wiki Consensus - Using Wikipedia Entries as Ontology Elements. In: Völkel, M. & Schaffert, S. (Hrsg.): Proceedings of the First Workshop on Semantic Wikis - From Wiki to Semantics, co-located with the 3rd Annual European Semantic Web Conference (ESWC 2006). ESWC2006, 2006Workshop on Semantic Wikis
[Volltext]
One major obstacle towards adding machine-readable annotation to
existing Web content is the lack of domain ontologies. While FOAF
and Dublin
Core are popular means for expressing relationships between Web resources
and between Web resources and literal values, we widely lack unique
identifiers
for common concepts and instances. Also, most available ontologies
have a
very weak community grounding in the sense that they are designed
by single
individuals or small groups of individuals, while the majority of
potential users
is not involved in the process of proposing new ontology elements
or achieving
consensus. This is in sharp contrast to natural language where the
evolution of
the vocabulary is under the control of the user community. At the
same time,
we can observe that, within Wiki communities, especially Wikipedia,
a large
number of users is able to create comprehensive domain representations
in the
sense of unique, machine-feasible, identifiers and concept definitions
which are
sufficient for humans to grasp the intension of the concepts. The
English
version of Wikipedia contains now more than one million entries and
thus the
same amount of URIs plus a human-readable description. While this
collection
is on the lower end of ontology expressiveness, it is likely the
largest living
ontology that is available today. In this paper, we (1) show that
standard Wiki
technology can be easily used as an ontology development environment
for
named classes, reducing entry barriers for the participation of users
in the
creation and maintenance of lightweight ontologies, (2) prove that
the URIs of
Wikipedia entries are surprisingly reliable identifiers for ontology
concepts, and
(3) demonstrate the applicability of our approach in a use case.
@inproceedings{Hepp:2006:HWC,
author = {Hepp, Martin and Bachlechner, Daniel and Siorpaes, Katharina},
title = {Harvesting Wiki Consensus - Using Wikipedia Entries as Ontology Elements},
editor = {Völkel, Max and Schaffert, Sebastian},
booktitle = {Proceedings of the First Workshop on Semantic Wikis -- From Wiki to Semantics, co-located with the 3rd Annual European Semantic Web Conference (ESWC 2006)},
series = {Workshop on Semantic Wikis},
publisher = {ESWC2006},
year = {2006},
url = {http://semwiki.org/semwiki2006},
keywords = {2006 ezweb folksonomy ontology wikipedia},
abstract = {One major obstacle towards adding machine-readable annotation to
existing Web content is the lack of domain ontologies. While FOAF
and Dublin
Core are popular means for expressing relationships between Web resources
and between Web resources and literal values, we widely lack unique
identifiers
for common concepts and instances. Also, most available ontologies
have a
very weak community grounding in the sense that they are designed
by single
individuals or small groups of individuals, while the majority of
potential users
is not involved in the process of proposing new ontology elements
or achieving
consensus. This is in sharp contrast to natural language where the
evolution of
the vocabulary is under the control of the user community. At the
same time,
we can observe that, within Wiki communities, especially Wikipedia,
a large
number of users is able to create comprehensive domain representations
in the
sense of unique, machine-feasible, identifiers and concept definitions
which are
sufficient for humans to grasp the intension of the concepts. The
English
version of Wikipedia contains now more than one million entries and
thus the
same amount of URIs plus a human-readable description. While this
collection
is on the lower end of ontology expressiveness, it is likely the
largest living
ontology that is available today. In this paper, we (1) show that
standard Wiki
technology can be easily used as an ontology development environment
for
named classes, reducing entry barriers for the participation of users
in the
creation and maintenance of lightweight ontologies, (2) prove that
the URIs of
Wikipedia entries are surprisingly reliable identifiers for ontology
concepts, and
(3) demonstrate the applicability of our approach in a use case.}
}
Hepp, M.; Siorpaes, K. & Bachlechner, D.: Towards the Semantic Web in e-Tourism: Lack of Semantics or Lack of Content?. Poster Proceedings of the 3rd Annual European Semantic Web Conference (ESWC 2006). Budva, Montenegro: 2006
[Volltext]
@inproceedings{tx_deriinproceedings_list_uid142,
author = {Hepp, Martin and Siorpaes, Katharina and Bachlechner, Daniel},
title = {Towards the Semantic Web in e-Tourism: Lack of Semantics or Lack of Content?},
booktitle = {Poster Proceedings of the 3rd Annual European Semantic Web Conference (ESWC 2006)},
address = {Budva, Montenegro},
year = {2006},
url = {http://www.heppnetz.de/files/eTourism-poster-eswc2006.pdf},
keywords = {2006 deri eswc etourism turruta-eswc2008}
}
Hotho, A.; Jäschke, R.; Schmitz, C. & Stumme, G.: Emergent Semantics in BibSonomy.. In: Hochberger, C. & Liskowsky, R. (Hrsg.): GI Jahrestagung (2). GI, 2006 (LNI 94), S. 305-312
[Volltext]
@inproceedings{conf/gi/HothoJSS06,
author = {Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd},
title = {Emergent Semantics in BibSonomy.},
editor = {Hochberger, Christian and Liskowsky, Rüdiger},
booktitle = {GI Jahrestagung (2)},
series = {LNI},
publisher = {GI},
year = {2006},
volume = {94},
pages = {305-312},
url = {http://www.tagora-project.eu/wp-content/2007/05/hotho2006emergent.pdf},
isbn = {978-3-88579-188-1},
keywords = {2006 bibsonomy ezweb folksonomy semantics}
}
Lambiotte, R. & Ausloos, M.: Collaborative tagging as a tripartite network. In: Lecture Notes in Computer Science (2006), Nr. 3993, S. 1114 - 1117
[Volltext]
We describe online collaborative communities by tripartite networks, the nodes being persons, items and tags. We introduce projection methods in order to uncover the structures of the networks, i.e. communities of users, genre families...
To do so, we focus on the correlations between the nodes, depending on their profiles, and use percolation techniques that consist in removing less correlated links and observing the shaping of disconnected islands. The structuring of the network is visualised by using a tree representation. The notion of diversity in the system is also discussed.
@article{lambiotte05tripartite,
author = {Lambiotte, R. and Ausloos, M.},
title = {Collaborative tagging as a tripartite network},
journal = {Lecture Notes in Computer Science},
year = {2006},
number = {3993},
pages = {1114 - 1117},
url = {http://arxiv.org/abs/cs/0512090},
keywords = {2006 collaborative ezweb folksonomy tagging},
abstract = {We describe online collaborative communities by tripartite networks, the nodes being persons, items and tags. We introduce projection methods in order to uncover the structures of the networks, i.e. communities of users, genre families...
To do so, we focus on the correlations between the nodes, depending on their profiles, and use percolation techniques that consist in removing less correlated links and observing the shaping of disconnected islands. The structuring of the network is visualised by using a tree representation. The notion of diversity in the system is also discussed.}
}
Schmitz, C.; Hotho, A.; Jäschke, R. & Stumme, G.: Mining Association Rules in Folksonomies. In: Batagelj, V.; Bock, H.-H.; Ferligoj, A. & Žiberna, A. (Hrsg.): Data Science and Classification. Proceedings of the 10th IFCS Conf.. Heidelberg: Springer, 2006Studies in Classification, Data Analysis, and Knowledge Organization , S. 261-270
[Volltext]
Social bookmark tools are rapidly emerging on the Web. In such
systems users are setting up lightweight conceptual structures
called folksonomies. These systems provide currently relatively few
structure. We discuss in this paper, how association rule mining
can be adopted to analyze and structure folksonomies, and how the results can be used
for ontology learning and supporting emergent semantics. We
demonstrate our approach on a large scale dataset stemming from an
online system.
@inproceedings{Schmitz_et_al_2006,
author = {Schmitz, Christoph and Hotho, Andreas and Jäschke, Robert and Stumme, Gerd},
title = {Mining Association Rules in Folksonomies},
editor = {Batagelj, V. and Bock, H.-H. and Ferligoj, A. and Žiberna, A.},
booktitle = {Data Science and Classification. Proceedings of the 10th IFCS Conf.},
series = {Studies in Classification, Data Analysis, and Knowledge Organization},
publisher = {Springer},
address = {Heidelberg},
year = {2006},
pages = {261--270},
url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/schmitz2006mining.pdf},
keywords = {2006 ezweb folksonomy ontology},
abstract = {Social bookmark tools are rapidly emerging on the Web. In such
systems users are setting up lightweight conceptual structures
called folksonomies. These systems provide currently relatively few
structure. We discuss in this paper, how association rule mining
can be adopted to analyze and structure folksonomies, and how the results can be used
for ontology learning and supporting emergent semantics. We
demonstrate our approach on a large scale dataset stemming from an
online system.}
}