Fensel, Dieter and Lausen, Holger and Polleres, Axel and Bruijn, Jos De and Stollberg, Michael and Roman, Dumitru and Domingue, John
Enabling Semantic Web Services: The Web Service Modeling Ontology
Springer-Verlag
2006
Heidelberg
2006 deri semanticwebservices turruta-eswc2008 wsmo wsmx
Hepp, Martin and Bachlechner, Daniel and Siorpaes, Katharina
Völkel, Max and Schaffert, Sebastian
Harvesting Wiki Consensus - Using Wikipedia Entries as Ontology Elements
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
2006
June
Workshop on Semantic Wikis
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.
http://semwiki.org/semwiki2006
SemWiki2006-proceedings
2006 ezweb folksonomy ontology wikipedia
Hepp, Martin and Siorpaes, Katharina and Bachlechner, Daniel
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)
2006
June
Budva, Montenegro
http://www.heppnetz.de/files/eTourism-poster-eswc2006.pdf
2006 deri eswc etourism turruta-eswc2008
Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd
Hochberger, Christian and Liskowsky, Rüdiger
Emergent Semantics in BibSonomy.
GI Jahrestagung (2)
GI
2006
94
305-312
LNI
http://www.tagora-project.eu/wp-content/2007/05/hotho2006emergent.pdf
conf/gi/2006-2
2006 bibsonomy ezweb folksonomy semantics
dblp
Lambiotte, R. and Ausloos, M.
Collaborative tagging as a tripartite network
Lecture Notes in Computer Science
2006
1114 - 1117
3993
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... <br />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.
http://arxiv.org/abs/cs/0512090
2006 collaborative ezweb folksonomy tagging
Schmitz, Christoph and Hotho, Andreas and Jäschke, Robert and Stumme, Gerd
Batagelj, V. and Bock, H.-H. and Ferligoj, A. and Žiberna, A.
Mining Association Rules in Folksonomies
Data Science and Classification. Proceedings of the 10th IFCS Conf.
Springer
2006
July
261–270
Studies in Classification, Data Analysis, and Knowledge Organization
Heidelberg
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.
http://www.kde.cs.uni-kassel.de/stumme/papers/2006/schmitz2006mining.pdf
2006 ezweb folksonomy ontology