Network Properties of Folksonomies.
AI Communications, 20(4):245 - 262, 2007.
Ciro Cattuto, Christoph Schmitz, Andrea Baldassarri, Vito D. P. Servedio, Vittorio Loreto, Andreas Hotho, Miranda Grahl und Gerd Stumme.
[doi]
[BibTeX]
Conceptual Clustering of Social Bookmarking Sites.
In:
7th International Conference on Knowledge Management (I-KNOW '07), Seiten 356-364.
Know-Center, Graz, Austria, 2007.
Miranda Grahl, Andreas Hotho und Gerd Stumme.
[Kurzfassung]
[BibTeX]
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.
Tag Recommendations in Folksonomies.
In: J. N. Kok, J. Koronacki, R. L. de Mántaras, S. Matwin, D. Mladenic und A. Skowron
(Herausgeber):
Knowledge Discovery in Databases: PKDD 2007, 11th European Conference on Principles and Practice of Knowledge Discovery in Databases, Warsaw, Poland, September 17-21, 2007, Proceedings, Band 4702, Reihe Lecture Notes in Computer Science, Seiten 506-514.
Springer, 2007.
Robert Jäschke, Leandro Balby Marinho, Andreas Hotho, Lars Schmidt-Thieme und Gerd Stumme.
[doi]
[BibTeX]
Automated Tag Clustering: Improving search and exploration in the tag space.
WWW2006, May:22-26, 2006.
G. Begelman, P. Keller und F. Smadja.
[doi]
[BibTeX]
Collaborative Creation of Communal Hierarchical Taxonomies in Social Tagging Systems.
Computer Science Department, 2006. Nummer 2006-10.
Paul Heymann und Hector Garcia-Molina.
[doi]
[Kurzfassung]
[BibTeX]
Collaborative tagging systems---systems where many casual users annotate objects with free-form strings (tags) of their choosing---have recently emerged as a powerful way to label and organize large collections of data. During our recent investigation into these types of systems, we discovered a simple but remarkably effective algorithm for converting a large corpus of tags annotating objects in a tagging system into a navigable hierarchical taxonomy of tags. We first discuss the algorithm and then present a preliminary model to explain why it is so effective in these types of systems.
Information Retrieval in Folksonomies: Search and Ranking.
In:
Proceedings of the 3rd European Semantic Web Conference , Band 4011, Reihe LNCS, Seiten 411-426.
Springer, Budva, Montenegro, 2006.
Andreas Hotho, Robert Jäschke, Christoph Schmitz und Gerd Stumme.
[doi]
[BibTeX]
TRIAS - An Algorithm for Mining Iceberg Tri-Lattices.
In:
Proc. 6th ICDM conference.
Hong Kong, 2006.
Robert Jäschke, Andreas Hotho, Christoph Schmitz, Bernhard Ganter und Gerd Stumme.
[BibTeX]
Mining Association Rules in Folksonomies.
In: V. Batagelj, H.-H. Bock, A. Ferligoj und A. Žiberna
(Herausgeber):
Data Science and Classification (Proc. IFCS 2006 Conference), Reihe Studies in Classification, Data Analysis, and Knowledge Organization, Seiten 261-270.
Springer, Berlin/Heidelberg, 2006.
Ljubljana
Christoph Schmitz, Andreas Hotho, Robert Jäschke und Gerd Stumme.
[doi]
[BibTeX]
Towards the Semantic Web: Collaborative Tag Suggestions.
In:
Proceedings of the Collaborative Web Tagging Workshop at the WWW 2006.
2006.
Zhichen Xu, Yun Fu, Jianchang Mao und Difu Su.
[BibTeX]
The Structure of Collaborative Tagging Systems.
2005.
Scott Golder und Bernardo A. Huberman.
[doi]
[BibTeX]
Ontologies Are Us: A Unified Model of Social Networks and Semantics.
In:
International Semantic Web Conference, Reihe LNCS, Seiten 522-536.
Springer, 2005.
Peter Mika.
[doi]
[BibTeX]