Nicolas Heist

Researcher

B6, 26, Room B 0.01

nico @ informatik.uni-mannheim.de

Consultation hours by appointment

orcid.org/0000-0002-4354-9138

Research Interests

Semantic Web Technologies
Knowledge Graphs and Linked Data

Projects

CaLiGraph – A Knowledge Graph from Wikipedia Categories and List Pages

Teachings

Data Mining I – Exercise (HWS 2018, HWS 2019, HWS 2020)
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)
- Knowledge Extraction from the Fine Print (FSS 2020 – HWS 2020)

Community Service

PC Member

PC Member of 20th International Semantic Web Conference 2021 – In-Use Track
PC Member of 18th Extended Semantic Web Conference 2021 – Research/Resource Track
PC Member of 19th International Semantic Web Conference 2020 – In-Use Track
PC Member of 17th Extended Semantic Web Conference 2020 - Resources Track

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

Heist, N. und Paulheim, H. (2020). Entity extraction from Wikipedia list pages. In , The Semantic Web : 17th International Conference, ESWC 2020, Heraklion, Crete, Greece, May 31-June 4, 2020, Proceedings (S. 327-342). Lecture Notes in Computer Science, Springer International Publishing: Cham.
Lüdemann, N., Shiba, A., Thymianis, N., Heist, N., Ludwig, C. A. und Paulheim, H. (2020). A knowledge graph for assessing aggressive tax planning strategies. In , The Semantic Web – ISWC 2020 : 19th International Semantic Web Conference, Athens, Greece, November 2-6, 2020, Proceedings, Part II (S. 395-410). Lecture Notes in Computer Science, Springer International Publishing: Cham.
Heist, N. und Paulheim, H. (2019). Uncovering the semantics of Wikipedia categories. In , 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. und Paulheim, H. (2019). Extracting literal assertions for DBpedia from Wikipedia abstracts. In , 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 , 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. und Paulheim, H. (2017). Language-agnostic relation extraction from Wikipedia abstracts. In , 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.

Heist, N., Hertling, S., Ringler, D. und Paulheim, H. (2020). Knowledge Graphs on the web – An overview. In Knowledge Graphs for eXplainable artificial intelligence : foundations, applications and challenges (S. 3-22). Amsterdam; Heidelberg: IOS Press / AKA.