In order to develop and provide new information services, the research department Information Service Engineering investigates models and methods for efficient semantic indexing, aggregation, linking, and retrieval of comprehensive heterogeneous and distributed data sources. To this end, both statistic and linguistic analysis methods (Natural Language Processing) as well as machine learning in combination with symbolic logic and interference mechanisms are applied.
ISE Team
- Prof. Dr. Harald Sack
- Katja Kling (Team Assistant)
- Dr. Mehwish Alam (Post-Doc)
- Dr. Danilo Dessi (Post-Doc)
- Russa Biswas (Junior Researcher, PhD candidate)
- Oleksandra Bruns (Junior Researcher, PhD candidate)
- Yiyi ChenJunior Researcher, PhD candidate)
- Genet-Asefa Gesese (Junior Researcher, PhD candidate)
- Fabian Hoppe (Junior Researcher, PhD candidate)
- MaryAnn Tan(Junior Researcher, PhD candidate)
- Tabea Tietz (Junior Researcher)
- Mahsa Vafaie(Junior Researcher, PhD candidate)
- Radina Sofronova (Student co-worker)
Former Members of the ISE Team
- Maria Koutraki
- Farshad Bakhshandegan Moghaddam
- Eulalie Monget
- Zahra Razaie
- Rima Türker
- Vivien Vetter
Teaching
- MOOC: Knowledge Graphs at openHPI
- Summersemester 2020: Information Service Engineering Lecture
- Wintersemester 2019/20: Information Service Engineering Project Course at KIT (AIFB)
- MOOC Course: Information Service Engineering at openHPI