The proseminar/seminar will focus on semantic technologies, (Corporate) Semantic Web, artificial intelligence (AI) and declarative knowledge representation in the enterprise context.

emplates für Präsentation und Seminararbeit

Template Seminararbeit (im KVV )

Template Präsentation (im KVV )

Ablauf und Leistungserbringung

Das Seminar findet online statt. Zugangsdaten im KVV.

siehe http://www.ag-nbi.de/lehre/seminare.html

Bitte beachten Sie auch die Hinweise zu Plagiaten.

Themen

1. Künstliche Intelligenz und Cognitive Computing (Dastan Kasmamytov)
2. Logik Programmierung und Regeln
3. Beschreibungslogiken / Description Logics
4. Semantic Web und semantische Technologien / Standards (Kaan Dönmez)
5. Engineering Ontologies (Tjard Hoffmann)
6. Named Entity Recognition (NER): Grundlagen, State of the Art, Tools (Amr Dargham)
7. Knowledge Graphs, DBPedia (incl. Linked Open Data), Yago, Wikidata (Emil Merle)
8. Topic detection (Boyan Hristov)
9. (Semantic) Business Process Modelling
10. Semantische Recommender Systeme
11. Entity Linking and Knowledge Extraction („The Open Knowledge Extraction Challenge) (Raphael Taxis)
12. Semantic Search (Tim Kluge)
13. Corporate Semantic Web Applications (Semantic CMS/KMS/DMS/Wiki)
14. Stream Reasoing (Elana Frank)
15. Inductive Logic Programming
16. Rule Extraction and Rule Learning,
17. Ontology Learning (Fritz Pilz)
18. Deep learning and structured knowledge / logic rules
19. Deep learning for time-series modeling
20. Relation extraction and classification using deep learning (Petrit Vidishiqi)
21. Knowledge base population using deep learning
22. Question answering with deep learning (Benny Henning)
23. Neural-symbolic learning and reasoning (Friedrich Keinhorst)
24. Explainable AI (Mamon Dehabra)
25. Quantum Machine Learning (Jan Batelka)
26. + further topics (suggest one)