Beitrag in einem Tagungsband
Information Retrieval in Folksonomies: Search and Ranking
Details zur Publikation
Autor(inn)en: | Stumme, G.; Hotho, A.; Schmitz, C.; Jäschke, R. |
Herausgeber: | John Domingue, York Sure |
Verlag: | Springer |
Verlagsort / Veröffentlichungsort: | Heidelberg |
Publikationsjahr: | 2006 |
Seitenbereich: | 411-426 |
Buchtitel: | The Semantic Web: Research and Applications |
Titel der Buchreihe: | Lecture Notes in Computer Science |
Jahrgang/Band : | 4011 |
Zusammenfassung, 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 findcommunities within the folksonomy and is used to structure search results. All findings are demonstrated on a large scale dataset.
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 findcommunities within the folksonomy and is used to structure search results. All findings are demonstrated on a large scale dataset.
Schlagwörter
folkrank, folksonomy, graph, iccs_example, information, l3s, mining, pagerank, rank, ranking, retrieval, search, seminar2006, trias_example, webzu
