Benz, D.; Hotho, A.; Jäschke, R.; Stumme, G.; Halle, A.; Lima, A. G. S.; Steenweg, H. & Stefani, S.: Academic Publication Management with PUMA - collect, organize and share publications. In: Lalmas, M.; Jose, J.; Rauber, A.; Sebastiani, F. & Frommholz, I. (Hrsg.): Proceedings of the European Conference on Research and Advanced Technology for Digital Libraries (ECDL) 2010. Berlin/Heidelberg: Springer, 2010 (Lecture Notes in Computer Science 6273), S. 417-420

The PUMA project fosters the Open Access movement und aims at a better support of the researcher’s publication work. PUMA stands for an integrated solution, where the upload of a publication results automatically in an update of both the personal and institutional homepage, the creation of an entry in a social bookmarking systems like BibSonomy, an entry in the academic reporting system of the university, and its publication in the institutional repository. In this poster, we present the main features of our solution.

Berendt, B.; Hotho, A. & Stumme, G.: Bridging the Gap-Data Mining and Social Network Analysis for Integrating Semantic Web and Web 2.0. In: Web Semantics: Science, Services and Agents on the World Wide Web 8 (2010), Nr. 2-3, S. 95 - 96
[Volltext]

Hotho, A.; Jäschke, R.; Schmitz, C. & Stumme, G.: Emergent Semantics in BibSonomy. In: Hochberger, C. & Liskowsky, R. (Hrsg.): Informatik 2006 - Informatik für Menschen. Band 2. Bonn: Gesellschaft für Informatik, 2006 (Lecture Notes in Informatics P-94)
[Volltext]
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.: Trend Detection in Folksonomies. In: Avrithis, Y. S.; Kompatsiaris, Y.; Staab, S. & O'Connor, N. E. (Hrsg.): Proc. First International Conference on Semantics And Digital Media Technology (SAMT) . Heidelberg: Springer, 2006 (LNCS 4306), S. 56-70
[Volltext]
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.