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Multi-Aspect Tagging for Collaborative Structuring Morik, Katharina Wurst, Michael Ensemble Clustering automatic tagging localized clustering Local tag structures have become frequent though Web 2.0: Users "tag" their data without specifying the underlying semantics. A collection of media items is tagged multiply using different aspects, e.g., topic, genre, occasion, mood. Given the large number of local, individual structures, users could benefit from the tagging work of others ("folksonomies"). In contrast to distributed clustering, no global structure is wanted. Each user wants to keep the tags already annotated, wants to keep the diverse aspects under which the items were organized, and only wishes to enhance the own structure by those of others. A clustering algorithm which structures items has to take into account the local, multi-aspect nature of the task structures. The LACE algorithm (Wurst et al. 2006) is such a clustering algorithm. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Katharina Morik and Michael Wurst 2007 Is Part Of Dagstuhl Seminar Proceedings, Volume 7181, Parallel Universes and Local Patterns (2007) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/DagSemProc.07181.5 urn:nbn:de:0030-drops-12635 https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.07181.5 eng https://creativecommons.org/licenses/by/4.0/legalcode