@article{siorpaes2008games,
  abstract = {Weaving the Semantic Web requires that humans contribute their labor and judgment for creating, extending, and updating formal knowledge structures. Hiding such tasks behind online multiplayer games presents the tasks as fun and intellectually challenging entertainment.},
  address = {Los Alamitos, CA, USA},
  author = {Siorpaes, Katharina and Hepp, Martin},
  doi = {http://doi.ieeecomputersociety.org/10.1109/MIS.2008.45},
  file = {siorpaes2008games.pdf:siorpaes2008games.pdf:PDF},
  groups = {public},
  interhash = {9852833e23b841db871ed6776f78922b},
  intrahash = {b5f12aecb395b0e5bf4b03b816a46c03},
  issn = {1541-1672},
  journal = {IEEE Intelligent Systems},
  journalpub = {1},
  number = 3,
  pages = {50-60},
  publisher = {IEEE Computer Society},
  timestamp = {2010-03-04 11:14:58},
  title = {Games with a Purpose for the Semantic Web},
  url = {http://www.computer.org/portal/web/csdl/doi/10.1109/MIS.2008.45},
  username = {dbenz},
  volume = 23,
  year = 2008
}

@inproceedings{damme2007folksontology,
  abstract = {We can observe that the amount of non-toy domain ontologies is stillvery limited for many areas of interest. In contrast, folksonomies are widely inuse 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 therespective tags often lack a context-independent and intersubjective definitionof meaning. Also, folksonomies and other unsupervised vocabularies frequentlysuffer from inconsistencies and redundancies. In this paper, we argue that thesocial interaction manifested in folksonomies and in their usage should beexploited for building and maintaining ontologies. Then, we sketch acomprehensive approach for deriving ontologies from folksonomies byintegrating multiple resources and techniques. In detail, we suggest combining(1) the statistical analysis of folksonomies, associated usage data, and theirimplicit 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 helpshuman actors in achieving and maintaining consensus over ontology elementsuggestions resulting from the preceding steps.},
  author = {Damme, Céline Van and Hepp, Martin and Siorpaes, Katharina},
  booktitle = {Bridging the Gep between Semantic Web and Web 2.0 (SemNet 2007)},
  file = {damme2007folksontology.pdf:damme2007folksontology.pdf:PDF},
  groups = {public},
  interhash = {c8d1bcaa606229417f1c3f0f27c5f0e0},
  intrahash = {ace5ff38dde26e6c9dbf9db4e31e6546},
  pages = {57-70},
  timestamp = {2011-02-02 15:25:23},
  title = {FolksOntology: An Integrated Approach for Turning Folksonomies into Ontologies},
  url = {http://www.kde.cs.uni-kassel.de/ws/eswc2007/proc/FolksOntology.pdf},
  username = {dbenz},
  year = 2007
}

@inproceedings{Van-Damme2007,
  address = {Innsbruck},
  author = {Damme, C{\'e}line Van and Hepp, Martin and Siorpaes, Katharina},
  bdsk-file-1 = {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},
  bdsk-url-1 = {http://www.kde.cs.uni-kassel.de/ws/eswc2007/proc/ProceedingsSemnet07.pdf},
  booktitle = {Bridging the Gap between Semantic Web and Web 2.0 (SemNet 2007)},
  date-added = {2009-08-17 11:40:57 +0200},
  date-modified = {2010-01-04 09:30:08 +0100},
  interhash = {c8d1bcaa606229417f1c3f0f27c5f0e0},
  intrahash = {8d57c1e57c7aba60acb767e3d5b0fa13},
  pages = {57--70},
  title = {FolksOntology: An Integrated Approach for Turning Folksonomies into Ontologies},
  url = {http://www.kde.cs.uni-kassel.de/ws/eswc2007/proc/ProceedingsSemnet07.pdf},
  urldate = {28.5.2008},
  year = 2007
}

@inproceedings{Hepp:2006:HWC,
  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.},
  author = {Hepp, Martin and Bachlechner, Daniel and Siorpaes, Katharina},
  booktitle = {Proceedings of the First Workshop on Semantic Wikis -- From Wiki
	To Semantics},
  crossref = {SemWiki2006-proceedings},
  editor = {V\"{o}lkel, Max and Schaffert, Sebastian},
  interhash = {640e549f082756c3272467c9df64307e},
  intrahash = {d120c5c498e9cec5ce2934537c58978f},
  month = {June},
  owner = {voelkel},
  publisher = {ESWC2006},
  series = {Workshop on Semantic Wikis},
  timestamp = {2006.06.14},
  title = {Harvesting Wiki Consensus - Using Wikipedia Entries as Ontology Elements},
  url = {http://semwiki.org/semwiki2006},
  year = 2006
}