Hybrid Learning and Reasoning
Seminar an der Universität des Saarlandes, Fachrichtung Informatik, LSF 133348
The topics for seminar time slots (see schedule) are as follows. Currently assigned topics are marked in red. Selected background literature is indicated below; topic reference papers are available in the web or on request from seminar organizers.
Selected background references:
- van Bekkum, M., de Boer, M., van Harmelen, F. et al. (2021):Modular design patterns for hybrid learning and reasoning systems: A taxonomy, patterns and use cases. Journal of Applied Intelligence.
- F. van Harmelen, A.T. Teije (2019). A Boxology of Design Patterns for Hybrid Learning and Reasoning Systems. Journal of Web Engineering, 18(1-3):97-124, Rivers; also at https://arxiv.org/pdf/1905.12389
- A.D. Garcez et al. (2019). Neural-Symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning. arXiv preprint arXiv:1905.06088. https://arxiv.org/pdf/1905.06088
- Tarek R. Besold et al. /2017): Neural-Symbolic Learning and Reasoning: A Survey and Interpretation.
https://arxiv.org/pdf/1711.03902
- P. Hitzler, F. Bianchi, M. Ebrahimi & M.K. Sarker (2019): Neural-Symbolic Integration and the Semantic Web. http://www.semantic-web-journal.net/system/files/swj2188.pdf
- International Workshop Series on Neural-Symbolic Learning and Reasoning (since 2005) and other related material: http://www.neural-symbolic.org/
- International Workshop Series on Semantic Deep Learning (2017a, 2017b, 2018, 2019)
- Deep Learning:
- Semantic Web: