Simon Bin



SimonBinPhD Student

Agile Knowledge Engineering and Semantic Web (AKSW)
University of Leipzig

Profiles: DBLP

Goerdellering 9, Room 24, 04109 Leipzig
sbin@informatik.uni-leipzig.de
Phone: +49-341-22903736

Short CV


Simon Bin is a PhD Student at the University of Leipzig. Simon’s research interests are in the area of Structured Machine Learning.

Research Interests


  • Ontology Learning
  • Ontology Debugging
  • Reasoning
  • Big Structured Machine Learning

Current Projects


  • DL-Learner – a tool for supervised Machine Learning in OWL and Description Logics
  • QROWDThe 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

Publications

2019

Westphal, Patrick; Bühmann, Lorenz; Bin, Simon; Jabeen, Hajira; Lehmann, Jens

SML-Bench - A benchmarking framework for structured machine learning Journal Article

In: Semantic Web, 10 (2), pp. 231–245, 2019.

Links | BibTeX

2018

Bühmann, Lorenz; Lehmann, Jens; Westphal, Patrick; Bin, Simon

DL-Learner Structured Machine Learning on Semantic Web Data Inproceedings

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.

Links | BibTeX

2017

Ermilov, Ivan; Lehmann, Jens; Sejdiu, Gezim; Bühmann, Lorenz; Westphal, Patrick; Stadler, Claus; Bin, Simon; Chakraborty, Nilesh; Petzka, Henning; Saleem, Muhammad; Ngomo, Axel-Cyrille Ngonga; Jabeen, Hajira

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.

Links | BibTeX

Bin, Simon; Westphal, Patrick; Lehmann, Jens; Ngonga, Axel

Implementing scalable structured machine learning for big data in the SAKE project Inproceedings

In: 2017 IEEE International Conference on Big Data, BigData 2017, Boston, MA, USA, December 11-14, 2017, pp. 1400–1407, IEEE Computer Society, 2017.

Links | BibTeX

Lehmann, Jens; Sejdiu, Gezim; Bühmann, Lorenz; Westphal, Patrick; Stadler, Claus; Ermilov, Ivan; Bin, Simon; Chakraborty, Nilesh; Saleem, Muhammad; Ngomo, Axel-Cyrille Ngonga; Jabeen, Hajira

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.

Abstract | Links | BibTeX

2016

Bin, Simon; Bühmann, Lorenz; Lehmann, Jens; Ngomo, Axel-Cyrille Ngonga

Towards SPARQL-Based Induction for Large-Scale RDF Data Sets Inproceedings

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.

Links | BibTeX

2014

Volke, Sebastian; Bin, Simon; Zeckzer, Dirk; Middendorf, Martin; Scheuermann, Gerik

Visual Analysis of Discrete Particle Swarm Optimization Using Fitness Landscapes Incollection

In: Recent Advances in the Theory and Application of Fitness Landscapes, 6 , pp. 487-507, Springer Berlin Heidelberg, 2014, ISBN: 978-3-642-41887-7.

Links | BibTeX

Bin, Simon; Volke, Sebastian; Scheuermann, Gerik; Middendorf, Martin

Comparing the Optimization Behaviour of Heuristics with Topology Based Visualization Inproceedings

In: Theory and Practice of Natural Computing - Third International Conference, TPNC 2014, Granada, Spain, December 9-11, 2014. Proceedings, pp. 47–58, Springer, 2014.

Links | BibTeX