My research is focused on the development and integration of algorithms for community detection, ranking and recommendations into collaborative tagging systems. Further topics of interest include citation and link analysis, entity matching and resolution, and social network analysis.
Furthermore, I am leading the development of our own system, BibSonomy, which is used as test-bed for our methods and results.
Auf der Plattform handbuch.io des Open Science Lab der TIB Hannover schrieben vor und während der CeBIT 2014 in einem Book Sprint 15 eingeladene Expertinnen und Experten, viele davon aus dem Leibniz Forschungsverbund Science 2.0, das Handbuch CoScience - Gemeinsam forschen und publizieren mit dem Netz.
This year's discovery challenge presents two tasks in the new area
of social bookmarking. One task covers spam detection and
the other covers tag recommendations. As we are hosting the social bookmark and
publication sharing system BibSonomy, we are able to provide a dataset
of BibSonomy for the challenge. A training dataset for both tasks is provided at the beginning of the competition.
The test dataset will be released 48 hours before the final deadline. Due to a very tight schedule we cannot grant any deadline
The presentation of the results will take place at the ECML/PKDD workshop where the top teams are
invited to present their approaches and results.
J. Mueller. 19th International Conference on Information Integration and Web-based Applications & Services (iiWAS 2017). Salzburg, Austria -- Dezember 4-6, 2017. Proceedings, New York, NY, USA, ACM, (2017)