Schmitz, C.; Hotho, A.; Jäschke, R. & Stumme, G.
(2006), Kollaboratives Wissensmanagement
, Springer
, pp. 273-290
.
[BibTeX]
[Endnote]
Wissensmanagement in zentralisierten Wissensbasen erfordert einen hohen Aufwand für Erstellung und Wartung, und es entspricht nicht immer den Anforderungen der Benutzer. Wir geben in diesem Kapitel einen Überblick über zwei aktuelle Ansätze, die durch kollaboratives Wissensmanagement diese Probleme lösen können. Im Peer-to-Peer-Wissensmanagement unterhalten Benutzer dezentrale Wissensbasen, die dann vernetzt werden können, um andere Benutzer eigene Inhalte nutzen zu lassen. Folksonomies versprechen, die Wissensakquisition so einfach wie möglich zu gestalten und so viele Benutzer in den Aufbau und die Pflege einer gemeinsamen Wissensbasis einzubeziehen.
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 of documents one can track, it becomes increasingly difficult to remain up to date on ones own areas of interest. The problem becomes more severe with the increasing fraction of multimedia data, from which it is difficult to extract some conceptual description of their contents. One way to overcome this problem are social bookmark tools, which are rapidly emerging on the web. In such systems, users are setting up lightweight conceptual structures called folksonomies, and overcome thus the knowledge acquisition bottleneck. As more and more people participate in the effort, the use of a common vocabulary becomes more and more stable. We present an approach for discovering topic-specific trends within folksonomies. It is based on a differential adaptation of the PageRank algorithm to the triadic hypergraph structure of a folksonomy. The approach allows for any kind of data, as it does not rely on the internal structure of the documents. In particular, this allows to consider different data types in the same analysis step. We run experiments on a large-scale real-world snapshot of a social bookmarking system.
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.
Hotho, A.; J�schke, 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]
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]