Information Service Engineering/en
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The Research Group Information Service Engineering is a joint effort of FIZ Karlsruhe - Leibniz Institute for Information Infrastructure and the Institute of Applied Informatics and Formal Description Methods, Karlsruhe Institute of Technology (KIT) with a focus on the following research topics:
- Knowledge Graphs and Linked Data Engineering
- Knowledge Representations and Ontological Engineering
- Hybrid AI (Combining Symbolic and Sub-symbolic Knowledge Representation)
- Semantic Search and Exploratory Search
- Multimedia Analysis, Information Extraction and Knowledge Mining
- Recommender Systems
- Natural Language Processing
Current news, open thesis topics, etc. can be found on Mastodon.
An introduction in ISE research topics knowledge graphs, Natural Language Processing, and Machine Learning can be found at the ISE Youtube Channel.
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| WS 2022/23 | ISE project course with topics from NLP, Deep Learning, and Knowledge Graphs |
- Mirza Mohtashim Alam
- Oleksandra Bruns
- Shufan Jiang
- Ebrahim Norouzi
- Sarah Rebecca Ondraszek
- Harald Sack
- Mary Ann Tan
- Tabea Tietz
- Mahsa Vafaie
Our Tools and Datasets can be found on GitHub.
- Information Service Engineering, lecture
- Project Course Information Service Engineering, practical course (takes place in winter semester)
- Project Course Information Service Engineering, practical course (takes place in winter semester)
You can find our current lecture "Information Service Engineering" on our youtube channel:
OpenTheses |
Bachelor/ Master Thesis InformationWriting a Bachelor/ Master Thesis at Information Service Engineering (ISE) |
Job Offers |
PresentationsGiving a Presentation at Information Service Engineering (ISE) |