Michael Schulze

Michael Schulze
Researcher
Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI) GmbH
Forschungsbereich Smarte Daten & Wissensdienste
Trippstadter Str. 122
D-67663 Kaiserslautern

Email: michael.schulze (at) dfki.de

Industry & Research

• Applied AI Researcher for driving and implementing lightweight use cases for industry with knowledge graph technologies.
• Member of topic field Knowledge Work at DFKI.
• My research interests are knowledge graphs, approaches to construct knowledge graphs, and knowledge services that are based on such knowledge graphs.
• In the context of my PhD, I explore methods and approaches to realize knowledge-graph-based services in purchase-to-pay processes. With such services, the goal is to assist knowledge workers and to facilitate data exploration and understanding.

Selected Projects

• Green-AI Hub
  Interview with our industry partner and film about the project: interview and film on the Green AI-Hub website
  Further information about the project: AI pilot project on the Green AI-Hub website
• SensAI: Self-organizing Personal Knowledge Assistants in Evolving Corporate Memories (project website)
• CoMem: a group-wide, co-operating memory ecosystem, ongoing meta-project (project website)

Selection of Artifacts

• P2P-O: A Purchase-To-Pay Ontology for Enabling Semantic Invoices (project website)
• ptpDG: A Purchase-To-Pay Dataset Generator (project website)

• Schulze M. and Dengel A.
  Knowledge Graph Enrichments for Credit Account Prediction
  Proceedings of the 17th International Conference on Agents and Artificial Intelligence, ICAART 2025 - Volume 2, Porto, Portugal, February 23-25. 2025. SciTePress, pp. 441 - 552

• Schulze M., Pelzer M., Schröder M., Jilek C., Maus H., Dengel A.
  Towards Knowledge Graph Based Services in Accounting Use Cases
  SemanticsP&Ds 2022 Semantics Compound Volume 2022: Joint Proceedings of the Semantics co-located events: Poster&Demo track. Joint of the Semantics co-located events: Poster & Demo track (SEMANTiCS P&Ds-2022), September 13-15, Vienna, Austria, CEUR Workshop Proceedings

• Schulze M., Schröder M., Jilek C., Dengel A.
  ptpDG: A Purchase-To-Pay Dataset Generator for Evaluating Knowledge-Graph-Based Services
  In: Oshani Seneviratne, Catia Pesquita, Juan Sequeda, Lorena Etcheverry (Hrsg.). Proceedings of the ISWC 2021 Posters, Demos and Industry Tracks From Novel Ideas to Industrial Practice co-located with 20th International Semantic Web Conference (ISWC 2021). International Semantic Web Conference (ISWC), October 24-28, Virtual Conference, 2980, CEUR-WS.org, 2021.

• Schulze M., Schröder M., Jilek C., Albers T., Maus H., Dengel A.
  P2P-O: A Purchase-To-Pay Ontology for Enabling Semantic Invoices
  In: Ruben Verborgh, Katja Hose, Heiko Paulheim, Pierre-Antoine Champin, Maria Maleshkova, Oscar Corcho, Petar Ristoski, Mehwish Alam (Hrsg.). The Semantic Web - 18th International Conference, ESWC 2021, Virtual Event, June 6-10, 2021, Proceedings, Lecture Notes in Computer Science, 12731, Springer, 2021. pp. 647-663

• Schröder S., Schulze M., Jilek C., Dengel A.
  Bridging the Technology Gap Between Industry and Semantic Web: Generating Databases and Server Code From RDF
  In: Proceedings of the 13th International Conference on Agents and Artificial Intelligence. International Conference on Agents and Artificial Intelligence (ICAART-2021) February 4-6 Online Streaming SciTePress 2021.

• Schröder M., Jilek C., Schulze M., Dengel A.
  The Person Index Challenge: Extraction of Persons from Messy, Short Texts
  In: Proceedings of the 13th International Conference on Agents and Artificial Intelligence. International Conference on Agents and Artificial Intelligence (ICAART-21) February 4-6 Online Streaming SciTePress 2021.

• Schröder M., Jilek C., Schulze M., Dengel A.
  Interactively Constructing Knowledge Graphs from Messy User-Generated Spreadsheets
  In: Computing Research Repository eprint Journal (CoRR) abs/2103.03537 Pages 1-15 arXiv 3/2021.