%0 
%0 Book
%A 
%D 2006
%T Enabling Semantic Web Services: The Web Service Modeling Ontology
%E Fensel, Dieter; Lausen, Holger; Polleres, Axel; Bruijn, Jos De; Stollberg, Michael; Roman, Dumitru & Domingue, John
%B 
%C Heidelberg
%I Springer-Verlag
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%@ 3540345191
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%F ISBN:3540345191
%K 2006 deri semanticwebservices turruta-eswc2008 wsmo wsmx
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%0 
%0 Conference Proceedings
%A Hepp, Martin; Bachlechner, Daniel & Siorpaes, Katharina
%D 2006
%T Harvesting Wiki Consensus - Using Wikipedia Entries as Ontology Elements
%E Völkel, Max & Schaffert, Sebastian
%B Proceedings of the First Workshop on Semantic Wikis -- From Wiki to Semantics, co-located with the 3rd Annual European Semantic Web Conference (ESWC 2006)
%C 
%I ESWC2006
%V 
%6
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%S Workshop on Semantic Wikis
%7
%8 June
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%3 inproceedings
%4 SemWiki2006-proceedings
%# voelkel
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%F Hepp:2006:HWC
%K 2006 ezweb folksonomy ontology wikipedia
%X 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.
%Z 
%U http://semwiki.org/semwiki2006
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%0 
%0 Conference Proceedings
%A Hepp, Martin; Siorpaes, Katharina & Bachlechner, Daniel
%D 2006
%T Towards the Semantic Web in e-Tourism: Lack of Semantics or Lack of Content?
%E 
%B Poster Proceedings of the 3rd Annual European Semantic Web Conference (ESWC 2006)
%C Budva, Montenegro
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%F tx_deriinproceedings_list_uid142
%K 2006 deri eswc etourism turruta-eswc2008
%X 
%Z 
%U http://www.heppnetz.de/files/eTourism-poster-eswc2006.pdf
%+
%^

%0 
%0 Conference Proceedings
%A Hotho, Andreas; Jäschke, Robert; Schmitz, Christoph & Stumme, Gerd
%D 2006
%T Emergent Semantics in BibSonomy.
%E Hochberger, Christian & Liskowsky, Rüdiger
%B GI Jahrestagung (2)
%C 
%I GI
%V 94
%6
%N 
%P 305-312
%& 
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%S LNI
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%4 conf/gi/2006-2
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%F conf/gi/HothoJSS06
%K 2006 bibsonomy ezweb folksonomy semantics
%X 
%Z 
%U http://www.tagora-project.eu/wp-content/2007/05/hotho2006emergent.pdf
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%0 
%0 Journal Article
%A Lambiotte, R. & Ausloos, M.
%D 2006
%T Collaborative tagging as a tripartite network
%E 
%B Lecture Notes in Computer Science
%C 
%I 
%V 
%6
%N 3993
%P 1114 - 1117
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%F lambiotte05tripartite
%K 2006 collaborative ezweb folksonomy tagging
%X 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.
%Z 
%U http://arxiv.org/abs/cs/0512090
%+
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%0 
%0 Conference Proceedings
%A Schmitz, Christoph; Hotho, Andreas; Jäschke, Robert & Stumme, Gerd
%D 2006
%T Mining Association Rules in Folksonomies
%E Batagelj, V.; Bock, H.-H.; Ferligoj, A. & Žiberna, A.
%B Data Science and Classification. Proceedings of the 10th IFCS Conf.
%C Heidelberg
%I Springer
%V 
%6
%N 
%P 261--270
%& 
%Y 
%S Studies in Classification, Data Analysis, and Knowledge Organization
%7
%8 July
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%F Schmitz_et_al_2006
%K 2006 ezweb folksonomy ontology
%X 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.
%Z 
%U http://www.kde.cs.uni-kassel.de/stumme/papers/2006/schmitz2006mining.pdf
%+
%^