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Information Retrieval in Folksonomies: Search and Ranking

by: Andreas Hotho, Robert Jäschke, Christoph Schmitz, and Gerd Stumme

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http://www.kde.cs.uni-kassel.de/pub/pdf/hotho2006information.pdf

Social bookmark tools are rapidly emerging on the Web. In such systems users are setting up lightweight conceptual structures called folksonomies. The reason for their immediate success is the fact that no specific skills are needed for participating. At the moment, however, the information retrieval support is limited. We present a formal model and a new search algorithm for folksonomies, called FolkRank, that exploits the structure of the folksonomy. The proposed algorithm is also applied to find communities within the folksonomy and is used to structure search results. All findings are demonstrated on a large scale dataset.

In: The Semantic Web: Research and Applications, Vol. 4011 Berlin/Heidelberg: Springer (June 2006) , p. 411--426.

@inproceedings{hotho2006information,
  abstract = {Social bookmark tools are rapidly emerging on the Web. In such systems users are setting up lightweight conceptual structures called folksonomies. The reason for their immediate success is the fact that no specific skills are needed for participating. At the moment, however, the information retrieval support is limited. We present a formal model and a new search algorithm for folksonomies,
called FolkRank, that exploits the structure of the folksonomy. The proposed algorithm is also applied to find
communities within the folksonomy and is used to structure search results. All findings are demonstrated on a large scale dataset.},
  added-at = {2011-01-29T15:15:56.000+0100},
  address = {Berlin/Heidelberg},
  author = {Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd},
  biburl = {http://www.bibsonomy.org/bibtex/23c301945817681d637ee43901c016939/jaeschke},
  booktitle = {The Semantic Web: Research and Applications},
  editor = {Sure, York and Domingue, John},
  interhash = {10ec64d80b0ac085328a953bb494fb89},
  intrahash = {3c301945817681d637ee43901c016939},
  keywords = {},
  month = jun,
  pages = {411--426},
  publisher = {Springer},
  series = {Lecture Notes in Computer Science},
  title = {Information Retrieval in Folksonomies: Search and Ranking},
  url = {http://www.kde.cs.uni-kassel.de/pub/pdf/hotho2006information.pdf},
  volume = 4011,
  year = 2006
}

%0 Conference Paper
%1 hotho2006information
%A Hotho, Andreas
%A Jäschke, Robert
%A Schmitz, Christoph
%A Stumme, Gerd
%B The Semantic Web: Research and Applications
%C Berlin/Heidelberg
%D 2006
%E Sure, York
%E Domingue, John
%I Springer
%K 
%P 411--426
%T Information Retrieval in Folksonomies: Search and Ranking
%U http://www.kde.cs.uni-kassel.de/pub/pdf/hotho2006information.pdf
%V 4011
%X Social bookmark tools are rapidly emerging on the Web. In such systems users are setting up lightweight conceptual structures called folksonomies. The reason for their immediate success is the fact that no specific skills are needed for participating. At the moment, however, the information retrieval support is limited. We present a formal model and a new search algorithm for folksonomies,
called FolkRank, that exploits the structure of the folksonomy. The proposed algorithm is also applied to find
communities within the folksonomy and is used to structure search results. All findings are demonstrated on a large scale dataset.