@article{steels2006collaborative,
  author = {Steels, Luc},
  file = {:steels2006collaborative.pdf:PDF},
  interhash = {ddd8c61cc9cd490b99413b5781c332b4},
  intrahash = {9e624e613d0dab7b7332d6569c8b2607},
  journal = {Pragmatics and Cognition},
  number = 2,
  pages = {275-285},
  title = {Collaborative tagging as distributed cognition},
  url = {http://www.isrl.uiuc.edu/~amag/langev/paper/steels06tagging.html},
  volume = 14,
  year = 2006
}

@inproceedings{gwizdka2007finding,
  author = {Gwizdka, Jacek and Cole, Michael},
  booktitle = {ECDL},
  crossref = {conf/ercimdl/2007},
  date = {2007-08-31},
  editor = {Kovács, László and Fuhr, Norbert and Meghini, Carlo},
  ee = {http://dx.doi.org/10.1007/978-3-540-74851-9_69},
  interhash = {99615c0d4a238579e5ecb3479bac2b9f},
  intrahash = {9de38f48cf3ae0211d2fbe7ca9747abc},
  isbn = {978-3-540-74850-2},
  pages = {559-562},
  publisher = {Springer},
  series = {Lecture Notes in Computer Science},
  title = {Finding It on Google, Finding It on del.icio.us.},
  url = {http://dblp.uni-trier.de/db/conf/ercimdl/ecdl2007.html#GwizdkaC07},
  volume = 4675,
  year = 2007
}

@article{alkhalifa2007exploring,
  abstract = {Finding good keywords to describe resources is an on-going problem: typically we select such words manually from a thesaurus of terms, or they are created using automatic keyword extraction techniques. Folksonomies are an increasingly well populated source of unstructured tags describing web resources. This paper explores the value of the folksonomy tags as potential source of keyword metadata by examining the relationship between folksonomies, community produced annotations, and keywords extracted by machines. The experiment has been carried-out in two ways: subjectively, by asking two human indexers to evaluate the quality of the generated keywords from both systems; and automatically, by measuring the percentage of overlap between the folksonomy set and machine generated keywords set. The results of this experiment show that the folksonomy tags agree more closely with the human generated keywords than those automatically generated. The results also showed that the trained indexers preferred the semantics of folksonomy tags compared to keywords extracted automatically. These results can be considered as evidence for the strong relationship of folksonomies to the human indexer’s mindset, demonstrating that folksonomies used in the del.icio.us bookmarking service are a potential source for generating semantic metadata to annotate web resources.},
  author = {Al-Khalifa, H. S. and Davis, H. C.},
  booktitle = {International Journal on Semantic Web and Information Systems(IJSWIS)},
  date = {(2007)(1)},
  file = {alkhalifa2007exploring.pdf:alkhalifa2007exploring.pdf:PDF},
  groups = {public},
  interhash = {3fbb87664648d1210a24667d8a75395a},
  intrahash = {63e591fcd456a30abf3a2e95cd11b93d},
  journal = {International Journal on Semantic Web and Information Systems (IJSWIS)},
  journalpub = {1},
  pages = {pp. 13-39},
  timestamp = {2009-11-02 18:48:05},
  title = {Exploring The Value Of Folksonomies For Creating Semantic Metadata},
  url = {http://eprints.ecs.soton.ac.uk/13555/},
  username = {dbenz},
  volume = 3,
  year = 2007
}

@article{al-khalifa2007,
  author = {Al-Khalifa, Hend S. and Davis, Hugh C.},
  interhash = {3fbb87664648d1210a24667d8a75395a},
  intrahash = {c058fbfdcb787b442c8515bc9a87b8f6},
  title = {Exploring The Value Of Folksonomies For Creating Semantic Metadata},
  typesource = {Simple CitationSource},
  url = {http://eprints.ecs.soton.ac.uk/13555/},
  year = 2007
}

@article{sofia2009semantic,
  abstract = {The usability and the strong social dimension of the Web2.0 applications has encouraged users to create, annotate and share
their content thus leading to a rich and content-intensive Web. Despite that, the Web2.0 content lacks the explicit semanticsthat would allow it to be used in large-scale intelligent applications. At the same time the advances in Semantic Web technologiesimply a promising potential for intelligent applications capable to integrate distributed content and knowledge from variousheterogeneous resources. We present FLOR a tool that performs semantic enrichment of folksonomy tagspaces by exploiting onlineontologies, thesauri and other knowledge sources.},
  author = {Angeletou, Sofia},
  interhash = {443ba65c503acef978d4127c46449824},
  intrahash = {432c85a94f5d181dd65dd386c8ddb6de},
  journal = {The Semantic Web - ISWC 2008},
  pages = {889--894},
  title = {Semantic Enrichment of Folksonomy Tagspaces},
  url = {http://dx.doi.org/10.1007/978-3-540-88564-1_58},
  year = 2009
}

@article{kim2009,
  abstract = {Websites that provide content creation and sharing features have become quite popular recently. These sites allow users to categorize and browse content using  tags' or free-text keyword topics. Since users contribute and tag social media content across a variety of social web platforms, creating new knowledge from distributed tag data has become a matter of performing various tasks, including publishing, aggregating, integrating, and republishing tag data. However, there are a number of issues in relation to data sharing and interoperability when processing tag data across heterogeneous tagging platforms. In this paper we introduce a semantic tag model that aims to explicitly offer the necessary structure, semantics and relationships between tags. This approach provides an improved opportunity for representing tag data in the form of reusable constructs at a semantic level. We also demonstrate a prototype that consumes and makes use of shared tag metadata across heterogeneous sources.
},
  author = {Kim, Hak-Lae and Decker, Stefan and Breslin, John G.},
  doi = {10.1177/0165551509346785},
  interhash = {89c42bc68404f0ba2b31d120de0123b8},
  intrahash = {f114b138bcb978a1cbad72e6af8b3fe2},
  journal = {Journal of Information Science},
  pages = 0165551509346785,
  title = {{Representing and sharing folksonomies with semantics}},
  url = {http://jis.sagepub.com/cgi/content/abstract/0165551509346785v1},
  year = 2009
}

@article{limpens2009,
  address = {Los Alamitos, CA, USA},
  author = {Limpens, Freddy and Gandon, Fabien and Buffa, Michel},
  doi = {http://doi.ieeecomputersociety.org/10.1109/WI-IAT.2009.26},
  interhash = {89cdbfb24350947fd84ad88333b9022e},
  intrahash = {660821d34efd5432dd9324d1a12d1960},
  isbn = {978-0-7695-3801-3},
  journal = {Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on},
  pages = {132-135},
  publisher = {IEEE Computer Society},
  title = {Collaborative Semantic Structuring of Folksonomies},
  url = {http://www.computer.org/portal/web/csdl/doi/10.1109/WI-IAT.2009.26},
  volume = 1,
  year = 2009
}