Journal articles
Discovering Shared Conceptualizations in Folksonomies.
Web Semantics: Science, Services and Agents on the World Wide Web, 6(1):38-53, 2008.
Robert Jäschke, Andreas Hotho, Christoph Schmitz, Bernhard Ganter and Gerd Stumme.
[doi]
[abstract]
[BibTeX]
Social bookmarking tools are rapidly emerging on the Web. In such systems users are setting up lightweight conceptual structures called folksonomies. Unlike ontologies, shared conceptualizations are not formalized, but rather implicit. We present a new data mining task, the mining of all frequent tri-concepts, together with an efficient algorithm, for discovering these implicit shared conceptualizations. Our approach extends the data mining task of discovering all closed itemsets to three-dimensional data structures to allow for mining folksonomies. We provide a formal definition of the problem, and present an efficient algorithm for its solution. Finally, we show the applicability of our approach on three large real-world examples.
Network Properties of Folksonomies.
AI Communications Journal, Special Issue on ``Network Analysis in Natural Sciences and Engineering'', 20(4):245-262, 2007.
Ciro Cattuto, Christoph Schmitz, Andrea Baldassarri, Vito D. P. Servedio, Vittorio Loreto, Andreas Hotho, Miranda Grahl and Gerd Stumme.
[doi]
[BibTeX]
Conference articles
Analysis of the Publication Sharing Behaviour in BibSonomy.
In: U. Priss, S. Polovina and R. Hill, editors,
Proceedings of the 15th International Conference on Conceptual Structures (ICCS 2007), volume 4604, series Lecture Notes in Artificial Intelligence, pages 283-295.
Springer-Verlag, Berlin, Heidelberg, 2007.
Robert Jäschke, Andreas Hotho, Christoph Schmitz and Gerd Stumme.
[abstract]
[BibTeX]
BibSonomy is a web-based social resource sharing system which allows users to organise and share bookmarks and publications in a collaborative manner. In this paper we present the system, followed by a description of the insights in the structure of its bibliographic data that we gained by applying techniques we developed in the area of Formal Concept Analysis.
Organizing Publications and Bookmarks in BibSonomy.
In: H. Alani, N. Noy, G. Stumme, P. Mika, Y. Sure and D. Vrandecic, editors,
Workshop on Social and Collaborative Construction of Structured Knowledge (CKC 2007) at WWW 2007.
Banff, Canada, 2007.
Robert Jäschke, Miranda Grahl, Andreas Hotho, Beate Krause, Christoph Schmitz and Gerd Stumme.
[doi]
[BibTeX]
BibSonomy: A Social Bookmark and Publication Sharing System.
In: A. de Moor, S. Polovina and H. Delugach, editors,
Proceedings of the First Conceptual Structures Tool Interoperability Workshop at the 14th International Conference on Conceptual Structures, pages 87-102.
Aalborg Universitetsforlag, Aalborg, 2006.
Andreas Hotho, Robert Jäschke, Christoph Schmitz and Gerd Stumme.
[doi]
[abstract]
[BibTeX]
Social bookmark tools are rapidly emerging on the Web. In suchsystems users are setting up lightweight conceptual structurescalled folksonomies. The reason for their immediate success is thefact that no specific skills are needed for participating. In thispaper we specify a formal model for folksonomies and briefly describe our own system BibSonomy, which allows for sharing both bookmarksand publication references in a kind of personal library.
Emergent Semantics in BibSonomy.
In: C. Hochberger and R. Liskowsky, editors,
Informatik 2006 - Informatik für Menschen. Band 2, volume P-94, series Lecture Notes in Informatics.
Gesellschaft für Informatik, Bonn, 2006.
Proc. Workshop on Applications of Semantic Technologies, Informatik 2006
Andreas Hotho, Robert Jäschke, Christoph Schmitz and Gerd Stumme.
[doi]
[abstract]
[BibTeX]
Social bookmark tools are rapidly emerging on the Web. In suchsystems users are setting up lightweight conceptual structurescalled folksonomies. The reason for their immediate success is thefact that no specific skills are needed for participating. In thispaper we specify a formal model for folksonomies, briefly describeour own system BibSonomy, which allows for sharing both bookmarks andpublication references, and discuss first steps towards emergent semantics.
Information Retrieval in Folksonomies: Search and Ranking.
In: Y. Sure and J. Domingue, editors,
The Semantic Web: Research and Applications, volume 4011, series Lecture Notes in Computer Science, pages 411-426.
Springer, Heidelberg, 2006.
Andreas Hotho, Robert Jäschke, Christoph Schmitz and Gerd Stumme.
[pdf]
[abstract]
[BibTeX]
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.
Trend Detection in Folksonomies.
In: Y. S. Avrithis, Y. Kompatsiaris, S. Staab and N. E. O'Connor, editors,
Proc. First International Conference on Semantics And Digital Media Technology (SAMT) , volume 4306, series LNCS, pages 56-70.
Springer, Heidelberg, 2006.
Andreas Hotho, Robert Jäschke, Christoph Schmitz and Gerd Stumme.
[doi]
[abstract]
[BibTeX]
As the number of resources on the web exceeds by far the number ofdocuments one can track, it becomes increasingly difficult to remainup to date on ones own areas of interest. The problem becomes moresevere with the increasing fraction of multimedia data, from whichit is difficult to extract some conceptual description of theircontents.One way to overcome this problem are social bookmark tools, whichare rapidly emerging on the web. In such systems, users are settingup lightweight conceptual structures called folksonomies, andovercome thus the knowledge acquisition bottleneck. As more and morepeople participate in the effort, the use of a common vocabularybecomes more and more stable. We present an approach for discoveringtopic-specific trends within folksonomies. It is based on adifferential adaptation of the PageRank algorithm to the triadichypergraph structure of a folksonomy. The approach allows for anykind of data, as it does not rely on the internal structure of thedocuments. In particular, this allows to consider different datatypes in the same analysis step. We run experiments on a large-scalereal-world snapshot of a social bookmarking system.
TRIAS - An Algorithm for Mining Iceberg Tri-Lattices.
In:
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 06), pages 907-911.
IEEE Computer Society, Hong Kong, 2006.
Robert Jäschke, Andreas Hotho, Christoph Schmitz, Bernhard Ganter and Gerd Stumme.
[doi]
[abstract]
[BibTeX]
In this paper, we present the foundations for mining frequent tri-concepts, which extend the notion of closed itemsets to three-dimensional data to allow for mining folksonomies. We provide a formal definition of the problem, and present an efficient algorithm for its solution as well as experimental results on a large real-world example.