Kai Eckert

Professor Kai Eckert holds the position of Professor for Artificial Intelligence at the Department of Computer Science, Mannheim University of Applied Sciences since March 2023. His research focuses on Artificial Intelligence, Natural Language Processing, Linked Data, and their applications in Social Sciences, Information Science, and Digital Humanities. He has contributed to projects like JudaicaLink and Linked Open Citation Database, emphasizing data integration and provenance.

Research Interests: His work spans AI-driven solutions for data management, semantic technologies, and domain-specific knowledge bases. Notable areas include RDF validation, metadata modeling (RDF-Star, Named Graphs), and cross-lingual summarization (X-SCITLDR). He explores ethical and technical aspects of data provenance in scholarly communication and library systems.

Publications: Over 35+ peer-reviewed works since 2007. Key themes include semantic web applications, metadata provenance (e.g., Dublin Core extensions), and crowdsourced ontology development. Recent trends highlight AI in social networks (cyberbullying detection) and multilingual NLP systems.

Grants & Collaboration: Active in EU-funded initiatives and international conferences (e.g., ISWC, ESWC). Developed tools like Semtinel for interactive indexing and ICE-Map for KOS evaluation. Collaborates with institutions like Stuttgart Media University and Springer.