Michael Pernpeinter, PhD Student in the AI Group successfully applied for a Fulbrigth Scholarship to visit Texas A&M University and work with Prof. Guni Sharon on Governance of Autonomous Multi-Agent Systems.

Our paper “Background Knowledge in Schema Matching: Strategy vs. Data” has been accepted at the 20th International Semantic Web Conference. The paper has been co-authored by Jan Portisch, Michael Hladik, and Heiko Paulheim. In the paper, we have conducted a number of controlled experiments with ...

The paper “Winning at Any Cost – Infringing the Cartel Prohibition With Reinforcement Learning” was accepted at the 19th International Conference on Practical Applications of Agents and Multi-Agent Systems.

The paper “GraphConfRec: A Graph Neural Network-Based Conference Recommender System”, co-authored by Andreea Iana and Heiko Paulheim, has been accepted for publication at the ACM/IEEE Joint Conference on Digital Libraries. In the paper, we explore the usage of modern graph neural network based ...

Earlier this year, we introduced kgextension, the Python extension for processing knowledge graphs. With this extension, data analysts can easily link their data at hand to both public and private knowledge graphs, and add the wealth of public knowledge graphs such as Wikidata to their data ...

The paper “Dual-Objective Fine-Tuning of BERT for Entity Matching” by Ralph Peeters and Christian Bizer has been accepted for publication by the Proceedings of the VLDB Endowment (PVLDB) 2021. The paper will be presented at the VLDB 2021 conference in Copenhagen, Denmark in August.

Our paper “Collecting a Large Scale Dataset for Classifying Fake News Tweets Using Weak Supervision” has been accepted for publication in Future Internet.

Goran Glavaš has received the best (long) paper award at one of the most renowned conferences in NLP, the 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL).

We are happy to announce the release of the WDC Schema.org Table Corpus.