Die Uni Kassel hat einen Ranking-Algorithmus entwickelt, der wichtige Folksonomy-Eigenschaften wie Tagging berücksichtigt.
Abstract:
In social bookmark tools users are setting up lightweight conceptual structures called folksonomies. Currently, 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. A long version of this paper has been published at the European Semantic Web Conference 2006 [3].
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Eine Beispielimplementierung der FolkRank-Technik ist die Bibsonomy.
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