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Conceptual Clustering of Social Bookmarking Sites

I-KNOW '07. 7th International Conference on Knowledge Management, 2007.
Authors: Miranda Grahl and Andreas Hotho and Gerd Stumme
Tags: 2007 DISS bookmarking clustering folkrank folksonomy iknow l3s myown ontologies semantics social tagging tagging_clustering tagging_efficiency tagging_semantics tagora tagorapub toread
Abstract: Currently, social bookmarking systems provide intuitive support for browsing locally their content. A global view is usually presented by the tag cloud of the system, but it does not allow a conceptual drill-down, e. g., along a conceptual hierarchy. In this paper, we present a clustering approach for computing such a conceptual hierarchy for a given folksonomy. The hierarchy is complemented with ranked lists of users and resources most related to each cluster. The rankings are computed using our FolkRank algorithm. We have evaluated our approach on large scale data from the del.icio.us bookmarking system.
| BibTeX  
@inproceedings{GrHS07,
title = {Conceptual Clustering of Social Bookmarking Sites},
address = {Graz, Austria},
author = {Miranda Grahl and Andreas Hotho and Gerd Stumme},
booktitle = {I-KNOW '07. 7th International Conference on Knowledge Management},
crossref = {@PROCEEDINGS{ToMa07, title = {Proceedings of I-KNOW 2007}, year = {2007}, editor = {Tochtermann, Klaus and Maurer, Herrmann}, keywords = {knowledgemanagement iknow DISS ownstuff}, timestamp = {2007.11.06} }},
month = {September},
year = {2007},
abstract = {Currently, social bookmarking systems provide intuitive support for browsing locally their content. A global view is usually presented by the tag cloud of the system, but it does not allow a conceptual drill-down, e. g., along a conceptual hierarchy. In this paper, we present a clustering approach for computing such a conceptual hierarchy for a given folksonomy. The hierarchy is complemented with ranked lists of users and resources most related to each cluster. The rankings are computed using our FolkRank algorithm. We have evaluated our approach on large scale data from the del.icio.us bookmarking system.},
keywords = {2007 DISS bookmarking clustering folkrank folksonomy iknow l3s myown ontologies semantics social tagging tagging_clustering tagging_efficiency tagging_semantics tagora tagorapub toread }
}