Jäschke, R.; Hotho, A.; Schmitz, C.; Ganter, B. & Stumme, G. (2008),
'Discovering Shared Conceptualizations in Folksonomies', Web Semantics: Science, Services and Agents on the World Wide Web
6
(1)
, 38--53
.
[BibTeX]
[Endnote]
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.
Cattuto, C.; Schmitz, C.; Baldassarri, A.; Servedio, V. D. P.; Loreto, V.; Hotho, A.; Grahl, M. & Stumme, G. (2007),
'Network Properties of Folksonomies', AI Communications Journal, Special Issue on ``Network Analysis in Natural Sciences and Engineering''
20
(4)
, 245-262
.
[BibTeX]
[Endnote]
Jäschke, R.; Hotho, A.; Schmitz, C. & Stumme, G. (2007),
Analysis of the Publication Sharing Behaviour in BibSonomy, in
U. Priss; S. Polovina & R. Hill, ed.,
'Proceedings of the 15th International Conference on Conceptual Structures (ICCS 2007)'
, Springer-Verlag, Berlin, Heidelberg
, pp. 283--295
.
[BibTeX]
[Endnote]
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.
Jäschke, R.; Grahl, M.; Hotho, A.; Krause, B.; Schmitz, C. & Stumme, G. (2007),
Organizing Publications and Bookmarks in BibSonomy, in
Harith Alani; Natasha Noy; Gerd Stumme; Peter Mika; York Sure & Denny Vrandecic, ed.,
'Workshop on Social and Collaborative Construction of Structured Knowledge (CKC 2007) at WWW 2007'
.
[BibTeX]
[Endnote]
Hotho, A.; Jäschke, R.; Schmitz, C. & Stumme, G. (2006),
BibSonomy: A Social Bookmark and Publication Sharing System, in
Aldo de Moor; Simon Polovina & Harry Delugach, ed.,
'Proceedings of the First Conceptual Structures Tool Interoperability Workshop at the 14th International Conference on Conceptual Structures'
, Aalborg Universitetsforlag, Aalborg
, pp. 87-102
.
[BibTeX]
[Endnote]
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.
Hotho, A.; Jäschke, R.; Schmitz, C. & Stumme, G. (2006),
Emergent Semantics in BibSonomy, in
Christian Hochberger & Rüdiger Liskowsky, ed.,
'Informatik 2006 -- Informatik für Menschen. Band 2'
, Gesellschaft für Informatik, Bonn
.
[BibTeX]
[Endnote]
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.
Hotho, A.; Jäschke, R.; Schmitz, C. & Stumme, G. (2006),
Information Retrieval in Folksonomies: Search and Ranking, in
York Sure & John Domingue, ed.,
'The Semantic Web: Research and Applications'
, Springer, Heidelberg
, pp. 411-426
.
[BibTeX]
[Endnote]
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.
Hotho, A.; Jäschke, R.; Schmitz, C. & Stumme, G. (2006),
Trend Detection in Folksonomies, in
Yannis S. Avrithis; Yiannis Kompatsiaris; Steffen Staab & Noel E. O'Connor, ed.,
'Proc. First International Conference on Semantics And Digital Media Technology (SAMT) '
, Springer, Heidelberg
, pp. 56-70
.
[BibTeX]
[Endnote]
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.
Jäschke, R.; Hotho, A.; Schmitz, C.; Ganter, B. & Stumme, G. (2006),
TRIAS - An Algorithm for Mining Iceberg Tri-Lattices, in
'Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 06)'
, IEEE Computer Society, Hong Kong
, pp. 907-911
.
[BibTeX]
[Endnote]
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.