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AuthorTitleYearJournal/ProceedingsReftypeDOI/URL
Grahl, M., Hotho, A. & Stumme, G. Conceptual Clustering of Social Bookmarking Sites 2007 7th International Conference on Knowledge Management (I-KNOW '07)   inproceedings  
Abstract: Currently, social bookmarking systems provide intuitive support for browsing locally their content. A global view is usually presented by the tag cloud of the system, but it does not allow a conceptual drill-down, e. g., along a conceptual hierarchy. In this paper, we present a clustering approach for computing such a conceptual hierarchy for a given folksonomy. The hierarchy is complemented with ranked lists of users and resources most related to each cluster. The rankings are computed using our FolkRank algorithm. We have evaluated our approach on large scale data from the del.icio.us bookmarking system.
BibTeX:
@inproceedings{grahl2007clustering,
  author = {Grahl, Miranda and Hotho, Andreas and Stumme, Gerd},
  title = {Conceptual Clustering of Social Bookmarking Sites},
  booktitle = {7th International Conference on Knowledge Management (I-KNOW '07)},
  publisher = {Know-Center},
  year = {2007},
  pages = {356-364}
}
Santos-Neto, E., Ripeanu, M. & Iamnitchi, A. Tracking User Attention in Collaborative Tagging Communities 2007   misc URL  
BibTeX:
@misc{santosneto-2007,
  author = {Santos-Neto, Elizeu and Ripeanu, Matei and Iamnitchi, Adriana},
  title = {Tracking User Attention in Collaborative Tagging Communities},
  year = {2007},
  url = {http://arxiv.org/pdf/0705.1013}
}
Begelman, G., Keller, P. & Smadja, F. Automated Tag Clustering: Improving search and exploration in the tag space 2006 WWW2006, May   article URL  
BibTeX:
@article{begelman2006atc,
  author = {Begelman, G. and Keller, P. and Smadja, F.},
  title = {{Automated Tag Clustering: Improving search and exploration in the tag space}},
  journal = {WWW2006, May},
  year = {2006},
  pages = {22--26},
  url = {http://www.pui.ch/phred/automated_tag_clustering/}
}
Heymann, P. & Garcia-Molina, H. Collaborative Creation of Communal Hierarchical Taxonomies in Social Tagging Systems 2006 School: Standford University   techreport URL  
Abstract: Collaborative tagging systems---systems where many casual users annotate objects with free-form strings (tags) of their choosing---have recently emerged as a powerful way to label and organize large collections of data. During our recent investigation into these types of systems, we discovered a simple but remarkably effective algorithm for converting a large corpus of tags annotating objects in a tagging system into a navigable hierarchical taxonomy of tags. We first discuss the algorithm and then present a preliminary model to explain why it is so effective in these types of systems.
BibTeX:
@techreport{citeulike:739394,
  author = {Heymann, Paul and Garcia-Molina, Hector},
  title = {Collaborative Creation of Communal Hierarchical Taxonomies in Social Tagging Systems},
  school = {Standford University},
  year = {2006},
  number = {2006-10},
  url = {http://dbpubs.stanford.edu:8090/pub/2006-10}
}
Mika, P. Ontologies Are Us: A Unified Model of Social Networks and Semantics 2005 International Semantic Web Conference   inproceedings DOIURL  
BibTeX:
@inproceedings{Mika2005,
  author = {Mika, Peter},
  title = {Ontologies Are Us: A Unified Model of Social Networks and Semantics},
  booktitle = {International Semantic Web Conference},
  publisher = {Springer},
  year = {2005},
  pages = {522-536},
  url = {http://www.cs.vu.nl/~pmika/research/papers/ISWC-folksonomy.pdf},
  doi = {http://dx.doi.org/10.1007/11574620_38}
}

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