Conference proceedings article
Information Retrieval in Folksonomies: Search and Ranking



Publication Details
Authors:
Stumme, G.; Hotho, A.; Schmitz, C.; Jäschke, R.
Editor:
John Domingue, York Sure
Publisher:
Springer
Place:
Heidelberg
Publication year:
2006
Pages range:
411-426
Book title:
The Semantic Web: Research and Applications
Title of series:
Lecture Notes in Computer Science
Volume number:
4011

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.


Keywords
folkrank, folksonomy, graph, iccs_example, information, l3s, mining, pagerank, rank, ranking, retrieval, search, seminar2006, trias_example, webzu

Last updated on 2019-25-07 at 14:17