Simon Bin left SDA. The profile below reflects the status at the point of his departure and is no longer updated.
Goerdellering 9, Room 24, 04109 Leipzig
Simon Bin is a PhD Student at the University of Leipzig. Simon’s research interests are in the area of Structured Machine Learning.
- Ontology Learning
- Ontology Debugging
- Big Structured Machine Learning
- DL-Learner – a tool for supervised Machine Learning in OWL and Description Logics
- QROWD – The power of the Qrowd combines with RDF
- SAKE – With RDF and Machine Learning Getting Results Faster
- SANSA-Stack – Open source platform for distributed data processing for RDF large-scale datasets
- SML-Bench – A Benchmark for Symbolic Supervised Machine Learning from Expressive Structured Data
In: Knowl. Based Syst., vol. 241, pp. 108233, 2022.
In: J. Web Semant., vol. 65, pp. 100614, 2020.
In: Semantic Web, vol. 10, no. 2, pp. 231–245, 2019.
In: Companion of the The Web Conference 2018 on The Web Conference 2018, WWW 2018, Lyon , France, April 23-27, 2018, pp. 467–471, ACM, 2018.
The Tale of Sansa Spark Inproceedings
In: Proceedings of the ISWC 2017 Posters & Demonstrations and Industry Tracks co-located with 16th International Semantic Web Conference (ISWC 2017), Vienna, Austria, October 23rd - to - 25th, 2017, CEUR-WS.org, 2017.
In: 2017 IEEE International Conference on Big Data (IEEE BigData 2017), Boston, MA, USA, December 11-14, 2017, pp. 1400–1407, IEEE Computer Society, 2017.
Distributed Semantic Analytics Using the SANSA Stack Inproceedings
In: The Semantic Web - ISWC 2017 - 16th International Semantic Web Conference, Vienna, Austria, October 21-25, 2017, Proceedings, Part II, pp. 147–155, Springer, 2017.
In: ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands - Including Prestigious Applications of Artificial Intelligence (PAIS 2016), pp. 1551–1552, IOS Press, 2016.
In: Recent Advances in the Theory and Application of Fitness Landscapes, vol. 6, pp. 487-507, Springer Berlin Heidelberg, 2014, ISBN: 978-3-642-41887-7.
In: Theory and Practice of Natural Computing - Third International Conference, TPNC 2014, Granada, Spain, December 9-11, 2014. Proceedings, pp. 47–58, Springer, 2014.