SimonBinPhD Student

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

Profiles: DBLP

Hainstraße 11, 04109 Leipzig
sbin@informatik.uni-leipzig.de
Phone: +49-341-9732292

 

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
  • 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


2016

  • S. Bin, L. Bühmann, J. Lehmann, and A. {Ngonga Ngomo}, “Towards SPARQL-based induction for large-scale RDF data sets,” in Ecai 2016 – proceedings of the 22nd european conference on artificial intelligence, 2016, pp. 1551-1552. doi:10.3233/978-1-61499-672-9-1551
    [BibTeX] [Download PDF]
    @InProceedings{sparqllearner,
    Title = {Towards {SPARQL}-Based Induction for Large-Scale {RDF} Data sets},
    Author = {Bin, Simon and B{\"u}hmann, Lorenz and Lehmann, Jens and {Ngonga Ngomo}, Axel-Cyrille},
    Booktitle = {ECAI 2016 - Proceedings of the 22nd European Conference on Artificial Intelligence},
    Year = {2016},
    Editor = {Kaminka, Gal A. and Fox, Maria and Bouquet, Paolo and H{\"u}llermeier, Eyke and Dignum, Virginia and Dignum, Frank and van Harmelen, Frank},
    Pages = {1551--1552},
    Publisher = {IOS Press},
    Series = {Frontiers in Artificial Intelligence and Applications},
    Volume = {285},
    Doi = {10.3233/978-1-61499-672-9-1551},
    ISBN = {978-1-61499-672-9},
    Keywords = {2016 sbin buehmann lehmann ngonga sake group_aksw dllearner},
    Language = {English},
    Url = {http://svn.aksw.org/papers/2016/ECAI_SPARQL_Learner/public.pdf}
    }

2014

  • S. Volke, S. Bin, D. Zeckzer, M. Middendorf, and G. Scheuermann, “Visual analysis of discrete particle swarm optimization using fitness landscapes,” in Recent advances in the theory and application of fitness landscapes, H. Richter and A. Engelbrecht, Eds., Springer Berlin Heidelberg, 2014, vol. 6, pp. 487-507. doi:10.1007/978-3-642-41888-4_17
    [BibTeX] [Download PDF]
    @InCollection{volke2014visual,
    Title = {Visual Analysis of Discrete Particle Swarm Optimization Using Fitness Landscapes},
    Author = {Volke, Sebastian and Bin, Simon and Zeckzer, Dirk and Middendorf, Martin and Scheuermann, Gerik},
    Booktitle = {Recent Advances in the Theory and Application of Fitness Landscapes},
    Publisher = {Springer Berlin Heidelberg},
    Year = {2014},
    Editor = {Richter, Hendrik and Engelbrecht, Andries},
    Pages = {487-507},
    Series = {Emergence, Complexity and Computation},
    Volume = {6},
    Bdsk-url-1 = {http://dx.doi.org/10.1007/978-3-642-41888-4_17},
    Doi = {10.1007/978-3-642-41888-4_17},
    ISBN = {978-3-642-41887-7},
    Keywords = {2014 sbin visualization optimization landscape},
    Language = {English},
    Url = {http://dx.doi.org/10.1007/978-3-642-41888-4_17}
    }