Nicolas Heist

Researcher

B6, 26, Room B 0.01

nico (at) 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, HWS 2021, HWS 2022, HWS 2023)
Data Mining II - Exercise (FSS 2019, FSS 2020, FSS 2021, FSS 2022, FSS 2023)
- Coaching students participating in the annualy Data Mining Cup
  - 2022: Place 8 of 77 teams from 23 countries
  - 2021: Place >10 of 115 teams from 28 countries
  - 2020: Place 7 of 162 teams from 35 countries
  - 2019: Place 10 of 149 teams from 28 countries
Supervised Team Projects
- Improving Interaction with Knowledge Graphs via Embeddings (HWS 2022 – FSS 2023)
- Do Vegans Dream of Eclectic Reach? – An Analysis of Vegan Communities in Instagram (FSS 2021 – HWS 2021)
- Knowledge Extraction from the Fine Print (FSS 2020 – HWS 2020)
- Bot Development for Wikipedia (HWS 2019 – FSS 2020)
- Knowledge Graph for International Tax Regulation (HWS 2019 – FSS 2020)

Community Service

PC Member

PC Member of 22nd International Semantic Web Conference 2023 – In-Use Track
PC Member of 20th Extended Semantic Web Conference 2023 – Research Track
PC Member of 21st International Semantic Web Conference 2022 – In-Use Track
PC Member of 19th Extended Semantic Web Conference 2022 – Research Track
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

Awards and Nominations

Runner up for best paper award at 6th Workshop on Deep Learning for Knowledge Graphs, 2022
Nicolas Heist and Heiko Paulheim: Transformer-based Subject Entity Detection in Wikipedia Listings
Outstanding reviewer award at Extended Semantic Web Conference 2022
Challenge Winner at Semantic Reasoning Evaluation Challenge 2021 (SemREC @ ISWC'21): Task 1 – Datasets
Nicolas Heist and Heiko Paulheim: The CaLiGraph Ontology as a Challenge for OWL Reasoners

Portisch, J., Heist, N. and Paulheim, H. (2022). Knowledge graph embedding for data mining vs. knowledge graph embedding for link prediction – two sides of the same coin? Semantic Web, 13, 399–422.
Heist, N., Hertling, S. and Paulheim, H. (2018). Language-agnostic relation extraction from abstracts in Wikis. Information, 9, 75.

Heist, N. and Paulheim, H. (2023). NASTyLinker: NIL-aware scalable transformer-based entity linker. In , The Semantic Web : 20th International Conference, ESWC 2023, Hersonissos, Crete, Greece, May 28-June 1, 2023, Proceedings (S. 174–191). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Heist, N. and Paulheim, H. (2022). Transformer-based subject entity detection in Wikipedia listings. In , Proceedings of the 5th Workshop on Deep Learning for Knowlege Graphs (DL4KG 2022) co-located with the 21th International Semantic Web Conference (ISWC 2022) (S. 1–16). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Biswas, R., Sofronova, R., Alam, M., Heist, N., Paulheim, H. and Sack, H. (2021). Do judge an entity by its name! Entity typing using language models. In , The Semantic Web: ESWC 2021 Satellite Events : virtual event, June 6–10, 2021, revised selected papers (S. 65–70). Lecture Notes in Computer Science, Springer: Berlin [u.a.].
Heist, N. and Paulheim, H. (2021). Information extraction from co-occurring similar entities. In , The Web Conference 2021 : Proceedings of the World Wide Web Conference WWW 2021 (S. 3999-4009). , Association for Computing Machinery: New York, NY [u.a.].
Heist, N. and Paulheim, H. (2021). The CaLiGraph ontology as a challenge for OWL reasoners. In , Semantic Reasoning Evaluation Challenge 2021 : proceedings of the Semantic Reasoning Evaluation Challenge (SemREC 2021), co-located with the 20th International Semantic Web Conference (ISWC 2021); virtual event, October 27th, 2021 (S. 21–31). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
Heist, N. and 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: Berlin [u.a.].
Lüdemann, N., Shiba, A., Thymianis, N., Heist, N., Ludwig, C. A. and 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: Berlin [u.a.].
Heist, N. and 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. and 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: Berlin [u.a.].
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: Aachen, Germany.

Heist, N., Hertling, S., Ringler, D. and Paulheim, H. (2021). Wissensgraphen im Web : Überblick und Vergleich. In Semantische Datenintelligenz im Einsatz (S. 127–151). Wiesbaden: Springer Vieweg.
Heist, N., Hertling, S., Ringler, D. and 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.