Simon Bin

Wissenschaftlicher Mitarbeiter

Insti­tu­tion

Insti­tut für Ange­wandte Infor­matik (InfAI) e. V.

Forschungss­chw­er­punk­te

Seman­tic Web, Knowl­edge Graphs, Web Ontol­ogy Language

Pro­jek­te

  • Bin, Simon, Claus Stadler and Lorenz Büh­mann: “{KGCW}2023 Chal­lenge Report {RDF}{P}rocessing{T}oolkit / Sansa”, https://ceur-ws.org/Vol-3471/paper12.pdf.
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  • Bin, Simon, Claus Stadler, Nor­man Radtke, Kurt Jung­hanns, Sabine Grün­der-Fahrer and Michael Mar­tin: “Base Plat­form for Knowl­edge Graphs with Free Soft­ware”, https://ceur-ws.org/Vol-3401/paper6.pdf.
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  • Stadler, Claus, Simon Bin, Lorenz Büh­mann, Nor­man Radtke, Kurt Jung­hanns, Sabine Grün­der-Fahrer and Michael Mar­tin: “Seman­tifi­ca­tion of Geospa­tial Infor­ma­tion for Enriched Knowl­edge Rep­re­sen­ta­tion in Con­text of Cri­sis Infor­mat­ics”, https://ceur-ws.org/Vol-3376/paper03.pdf.
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  • West­phal, Patrick, Tobias Gruben­mann, Diego Col­larana, Simon Bin, Lorenz Büh­mann and Jens Lehmann: “Spa­tial con­cept learn­ing and infer­ence on geospa­tial poly­gon data”, Knowl. Based Syst. 241 (2022), https://svn.aksw.org/papers/2022/knosys_spatial_concept_learning/public.pdf.
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  • Stadler, Claus, Simon Bin, Lisa Wenige, Lorenz Büh­mann and Jens Lehmann: “Schema-agnos­tic SPAR­QL-dri­ven faceted search bench­mark gen­er­a­tion”, Jour­nal of Web Seman­tics (2020), p. 100614, https://svn.aksw.org/papers/2020/JWS_Faceted_Search_Benchmark/public.pdf.
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  • Wenige, Lisa, Claus Stadler, Simon Bin, Lorenz Büh­mann, Kurt Jung­hanns and Michael Mar­tin: “Auto­mat­ic Sub­ject Index­ing with Knowl­edge Graphs”, https://svn.aksw.org/papers/2020/LASCAR_Kindex/public.pdf.
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  • West­phal, Patrick, Lorenz Büh­mann, Simon Bin, Haji­ra Jabeen and Jens Lehmann: “SML-Bench – A Bench­mark­ing Frame­work for Struc­tured Machine Learn­ing”, Seman­tic Web Jour­nal (2018), http://jens-lehmann.org/files/2018/swj_sml_bench.pdf.
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  • Buehmann, Lorenz, Jens Lehmann, Patrick West­phal and Simon Bin: “DL-Learn­er – Struc­tured Machine Learn­ing on Seman­tic Web Data”, http://jens-lehmann.org/files/2018/www_dllearner.pdf.
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  • Lehmann, Jens, Gez­im Sejdiu, Lorenz Büh­mann, Patrick West­phal, Claus Stadler, Ivan Ermilov, Simon Bin, Nilesh Chakraborty, Muham­mad Saleem, Axel-Cyrille Ngo­mo Ngonga and Haji­ra Jabeen: “Dis­trib­uted Seman­tic Ana­lyt­ics using the SANSA Stack”, http://svn.aksw.org/papers/2017/ISWC_SANSA_SoftwareFramework/public.pdf.
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  • Ermilov, Ivan, Jens Lehmann, Gez­im Sejdiu, Lorenz Büh­mann, Patrick West­phal, Claus Stadler, Simon Bin, Nilesh Chakraborty, Hen­ning Pet­z­ka, Muham­mad Saleem, Axel-Cyrille Ngo­mo Ngonga and Haji­ra Jabeen: “The Tale of Sansa Spark”, https://svn.aksw.org/papers/2017/ISWC_SANSA_Demo/public.pdf.
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  • Bin, Simon, Patrick West­phal, Jens Lehmann and Axel-Cyrille Ngo­mo Ngonga: “Imple­ment­ing Scal­able Struc­tured Machine Learn­ing for Big Data in the SAKE Project”, http://jens-lehmann.org/files/2017/ieee_bigdata_sake.pdf.
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  • Bin, Simon, Lorenz B{ü}hmann, Jens Lehmann and Axel-Cyrille {Ngonga Ngo­mo}: “Towards {SPARQL}-Based Induc­tion for Large-Scale {RDF} Data sets”, http://svn.aksw.org/papers/2016/ECAI_SPARQL_Learner/public.pdf.
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  • Volke, Sebas­t­ian, Simon Bin, Dirk Zeckz­er, Mar­tin Mid­den­dorf and Gerik Scheuer­mann: “Visu­al Analy­sis of Dis­crete Par­ti­cle Swarm Opti­miza­tion Using Fit­ness Land­scapes”, in: Richter, Hen­drik and Andries Engel­brecht (eds.): Recent Advances in the The­o­ry and Appli­ca­tion of Fit­ness Land­scapes, vol. 6, Emer­gence, Com­plex­i­ty and Com­pu­ta­tion, Springer Berlin Hei­del­berg 2014, pp. 487–507, http://dx.doi.org/10.1007/978–3‑642–41888-4_17.
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  • Bin, Simon, Sebas­t­ian Volke, Gerik Scheuer­mann and Mar­tin Mid­den­dorf: “Com­par­ing the Opti­miza­tion Behav­iour of Heuris­tics with Topol­o­gy Based Visu­al­iza­tion”, in: Dediu, Adri­an-Horia, Manuel Lozano and Car­los Mart{\’\i}n‑Vide (eds.): The­o­ry and Prac­tice of Nat­ur­al Com­put­ing, vol. 8890, Lec­ture Notes in Com­put­er Sci­ence, Springer Inter­na­tion­al Pub­lish­ing 2014, pp. 47–58, http://dx.doi.org/10.1007/978–3‑319–13749-0_5.
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