A corpus-driven fact-checking engine, which returns a confidence value between -1 (fact is false) and +1 (fact is true) given a fact from DBpedia

A recommendation system that can use various embedding model.

Recent Advances Data Science (RADS) seminar winter semester 2019/2020

Semantic Web and Knowledge Graph (SWKG) seminar winter semester 2019/2020

fork from https://github.com/machine-drivers/docker-machine-driver-qemu

This project was developed as part of the Bachelor's Thesis of Julian Manuel Karch at the University of Paderborn for the Research Group Databases and Information Systems. It is a prototypical AR App for the Ergonomic Assessment of the workplace.

Thesis Write up

Seminar XRST Prototype