Swevels, A., Dijkman, R. M., & Fahland, D. (2023). Inferring Missing Entity Identifiers from Context Using Event Knowledge Graphs. In C. Di Francescomarino, A. Burattin, C. Janiesch, & S. Sadiq (Eds.), Business Process Management: 21st International Conference, BPM 2023, Utrecht, The Netherlands, September 11–15, 2023, Proceedings (pp. 180-197). (Lecture Notes in Computer Science (LNCS); Vol. Read More …
On January 1st, Ava Swevels started working as PhD student in the PA group. Ava will work under the supervision of Dirk Fahland on the AUTO-TWIN project. A big welcome to Ava!
Position: PhD Student Room: MF 7.070 Tel (internal): Links: CoursesPresentationsProjectsPublications External links: TU/e page Recent courses Recent presentations Recent projects Recent publications
Description The AutoTwin project addresses the technological shortcoming and economic liability of the development and usage of digital twins that are accepted as the accelerator and enabler of Circular Economy in businesses and production by conduction research in 3 areas: introducing a breakthrough method for automated process-aware discovery towards autonomous Digital Twins generation, to support Read More …
