Paper accepted at ISWC 2021
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 ...
Paper accepted at PAAMS
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.
Paper accepted at JCDL
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 ...
Best Demo Award at ESWC 2021
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 ...
Paper on Large-Scale Dataset Collection from Twitter accepted
Our paper “Collecting a Large Scale Dataset for Classifying Fake News Tweets Using Weak Supervision” has been accepted for publication in Future Internet.
CaLiGraph version 2.0 released
CaLiGraph is an open knowledge graph extracted from categories, tables, and listings in Wikipedia.
Paper on Web Table Classification accepted at ICWE 2021
Our paper “Web Table Classification based on Visual Features” has been accepted at the International Conference on Web Engineering.
Knowledge Graph Extension for Python
A team of DWS students has developed a Knowledge Graph extension for Python.
Paper accepted at The Web Conference 2021
Our paper “Information Extraction From Co-Occurring Similar Entities” has been accepted at The Web Conference 2021.
Job Offer: PostDoc Position in Machine Learning on Knowledge Graphs (m/f/d)
The Data and Web Science Group at University of Mannheim has a job opening at the Chair for Data Science for a PostDoc in the H2020 project Teaming.AI, which explores the cooperation of humans and AIs in Smart Manufacturing settings. For this project, we are looking for a PostDoc to work on the ...