Chapter

The Semantic Web: Research and Applications

Volume 4011 of the series Lecture Notes in Computer Science pp 411-426

Information Retrieval in Folksonomies: Search and Ranking

  • Andreas HothoAffiliated withKnowledge & Data Engineering Group, Department of Mathematics and Computer Science, University of Kassel
  • , Robert JäschkeAffiliated withKnowledge & Data Engineering Group, Department of Mathematics and Computer Science, University of KasselResearch Center L3S
  • , Christoph SchmitzAffiliated withKnowledge & Data Engineering Group, Department of Mathematics and Computer Science, University of Kassel
  • , Gerd StummeAffiliated withKnowledge & Data Engineering Group, Department of Mathematics and Computer Science, University of KasselResearch Center L3S

* Final gross prices may vary according to local VAT.

Get Access

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.