Information Retrieval in Folksonomies: Search and Ranking

  • Andreas Hotho
  • Robert Jäschke
  • Christoph Schmitz
  • Gerd Stumme
Conference paper

DOI: 10.1007/11762256_31

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4011)
Cite this paper as:
Hotho A., Jäschke R., Schmitz C., Stumme G. (2006) Information Retrieval in Folksonomies: Search and Ranking. In: Sure Y., Domingue J. (eds) The Semantic Web: Research and Applications. ESWC 2006. Lecture Notes in Computer Science, vol 4011. Springer, Berlin, Heidelberg

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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Andreas Hotho
    • 1
  • Robert Jäschke
    • 1
    • 2
  • Christoph Schmitz
    • 1
  • Gerd Stumme
    • 1
    • 2
  1. 1.Knowledge & Data Engineering Group, Department of Mathematics and Computer ScienceUniversity of KasselKasselGermany
  2. 2.Research Center L3SHannoverGermany

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