New Project on Machine Learning for Supply Chain Optimization
The KISync research project aims to investigate how methods of artificial intelligence (AI) must be applied to solve the decision problems of different processes in the synchronize operational supply chain planning under the influence of uncertainties. Included is primarily intended to support ...
New Project on AI-based Management of Planning and Construction Documents
The digitization and optimization of active processes in the construction industry using methods of artificial intelligence is of strategic interest for those involved in construction. The aim of this project application is the development of an AI-based system for the semantic classification and ...
SOTAB wins Dataset Track of SemTab Challenge at ISWC 2022
We are happy to announce that the Web Data Commons – Table Annotation Benchmark (WDC SOTAB) has won the Dataset Track of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching (SemTab) at the International Semantic Web Conference 2022.
New Project Funded by German Foundation for Peace Research
The German Foundation for Peace Research funds a new project on hate speech analysis on Twitter.
Jan Portisch has defended his PhD thesis
Jan Portisch has successfully defended his PhD thesis titled “Exploiting General-Purpose Background Knowledge for Automated Schema Matching” on August 25th.
Lea Cohausz receives Best Paper Award at EDM 2022
Lea Cohausz has received an award for the best student shart paper at the 15th International Conference on Educational Data Mining for her work on “Towards Real Interpretability of Student Success Prediction Combining Methods of XAI and Social Science”. Congratulations!  ...
Anna Primpeli has successfully defended her PhD Thesis
Anna Primpeli has successfully defended her PhD thesis titled “Reducing the Labeling Effort for Entity Resolution using Distant Supervision and Active Learning” today.
Paper accepted in ECML-PKDD 2022: Start Small, Think Big: On Hyperparameter Optimization for Large-Scale Knowledge Graph Embeddings
The paper “Start Small, Think Big: On Hyperparameter Optimization for Large-Scale Knowledge Graph Embeddings” by Adrian Kochsiek, Fritz Niesel, and Rainer Gemulla has been accepted at the 2022 ECML-PKDD European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in ...
Team WBSG wins ACM SIGMOD Programming Contest 2022
We are happy to announce that team WBSG consisting of the PhD students Alexander Brinkmann and Ralph Peeters has won the ACM SIGMOD Programming Contest 2022. Altogether 55 teams from all over the world participated in the contest.
Two Papers accepted for IJCAI 2022
We are happy that the following papers have been accepted for the 31st International Joint Conference on Artificial Intelligence July 23–29, 2022 in Vienna (Acceptance Rate: 15%): Patrick Betz, Christian Meilicke and Heiner Stuckenschmidt: “Adversarial Explanations for Knowledge Graph Embeddings” ...