Nicolas Heist

Nicolas Heist is a Researcher at the University of Mannheim's Data and Web Science Group. His work focuses on Semantic Web Technologies, Knowledge Graphs, Linked Data, and their applications in data mining and social media analysis. He has contributed to projects such as CaLiGraph, a knowledge graph derived from Wikipedia categories and list pages, and has organized exercises for Data Mining I and II courses since 2018.

He actively participates in academic conferences, serving as a Program Committee (PC) member for multiple International Semantic Web Conferences and Extended Semantic Web Conferences between 2020 and 2023. His research emphasizes the intersection of knowledge representation and practical applications, including improving interaction with knowledge graphs via embeddings and analyzing social media trends like vegan communities on Instagram.

Heist has received several recognitions, including the Outstanding Reviewer Award at ESWC 2022 and a challenge win at SemREC 2021. He supervises student projects exploring topics like knowledge graph development for tax regulations and bot development for Wikipedia maintenance.