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.
1st Part: "Prof. Bruns, Prof. Burguess & Dr. Woodford: Mapping Online Publics: New Methods for Twitter Research"
2nd Part: "Robert Jäschke: Identifying and Analyzing Researchers on Twitter"
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
extension.
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.
M. Stubbemann, T. Hanika, и G. Stumme. Advances in Intelligent Data Analysis XVIII - 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27-29, 2020, Proceedings, том 12080 из Lecture Notes in Computer Science, стр. 496--508. Springer, (2020)
M. Stubbemann, и G. Stumme. Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part III, том 14171 из Lecture Notes in Computer Science, стр. 177--192. Springer, (2023)