Nicolas Heist

Researcher

B6, 26, Room B 0.01

nico (at) informatik.uni-mannheim.de

Consultation hours by appointment

Research Interests

CaLiGraph - A Knowledge Graph from Wikipedia Categories and List Pages

Data Mining I - Exercise (HWS 2018, HWS 2019)
Data Mining II - Exercise (FSS 2019, FSS 2020)
Supervised Team Projects
- Bot Development for Wikipedia (HWS 2019 - FSS 2020)
- Knowledge Graph for International Tax Regulation (HWS 2019 - FSS 2020)

PC Member

Heist, N., Hertling, S. and Paulheim, H. (2018). Language-agnostic relation extraction from abstracts in Wikis. Information, 9, 75.

Heist, N. and Paulheim, H. (2019). Uncovering the semantics of Wikipedia categories. In Ghidini, C., The Semantic Web - ISWC 2019 : 18th International Semantic Web Conference, Auckland, New Zealand, October 26–30, 2019, Proceedings, Part I (S. 219-236). Information Systems and Applications, incl. Internet/Web, and HCI, Springer: Cham.
Schrage, F., Heist, N. and Paulheim, H. (2019). Extracting literal assertions for DBpedia from Wikipedia abstracts. In Acosta, M., Semantic Systems. The Power of AI and Knowledge Graphs : 15th International Conference, SEMANTiCS 2019, Karlsruhe, Germany, September 9–12, 2019, Proceedings (S. 288-294). Lecture Notes in Computer Science, Springer: Cham.
Heist, N. (2018). Towards knowledge graph construction from entity co-occurrence. In Hollink, L., EKAW-DC 2018 : Proceedings of the EKAW Doctoral Consortium 2018 co-located with the 21st International Conference on Knowledge Engineering and Knowledge Management (EKAW 2018) Nancy, France, November 13, 2018 (S. 1-8). CEUR Workshop Proceedings, RWTH: Aachen.
Heist, N. and Paulheim, H. (2017). Language-agnostic relation extraction from Wikipedia abstracts. In d'Amato, C., The Semantic Web – ISWC 2017 : 16th International Semantic Web Conference, Vienna, Austria, October 21–25, 2017, proceedings, part I (S. 383-399). Lecture Notes in Computer Science, Springer International Publishing: Cham.