Simon Bin

Wissenschaftlicher Mitarbeiter

Insti­tu­tion

Insti­tut für Ange­wandte Infor­matik (InfAI) e. V.

Forschungss­chw­er­punk­te

Seman­tic Web, Knowl­edge Graphs, Web Ontol­ogy Language

Pro­jek­te

Pub­lika­tio­nen

  • Auto­mat­ic Sub­ject Index­ing with Knowl­edge GraphsIn: LASCAR Work­shop at the Extend­ed Seman­tic Web Con­fer­ence (ESWC)Lisa Wenige, Claus Stadler, Simon Bin, Lorenz Büh­mann, Kurt Jung­hanns and Michael Martin
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  • DL-Learn­er – Struc­tured Machine Learn­ing on Seman­tic Web DataIn: The Web Conf (WWW) 2018 Jour­nals TrackLorenz Buehmann, Jens Lehmann, Patrick West­phal and Simon Bin
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  • Dis­trib­uted Seman­tic Ana­lyt­ics using the SANSA StackIn: Pro­ceed­ings of 16th Inter­na­tion­al Seman­tic Web Con­fer­ence — Resources Track (ISWC’2017) : Springer, pp. 147–155Jens Lehmann, Gez­im Sejdiu, Lorenz Büh­mann, Patrick West­phal, Claus Stadler, Ivan Ermilov, Simon Bin, Nilesh Chakraborty, Muham­mad Saleem, et al.
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  • The Tale of Sansa SparkIn: Pro­ceed­ings of 16th Inter­na­tion­al Seman­tic Web Con­fer­ence, Poster \& DemosIvan Ermilov, Jens Lehmann, Gez­im Sejdiu, Lorenz Büh­mann, Patrick West­phal, Claus Stadler, Simon Bin, Nilesh Chakraborty, Hen­ning Pet­z­ka, et al.
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  • Imple­ment­ing Scal­able Struc­tured Machine Learn­ing for Big Data in the SAKE ProjectIn: IEEE Big Data Con­fer­ence 2017Simon Bin, Patrick West­phal, Jens Lehmann and Axel-Cyrille Ngo­mo Ngonga
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  • Towards {SPARQL}-Based Induc­tion for Large-Scale {RDF} Data setsIn: Gal A. Kamin­ka, Maria Fox, Pao­lo Bou­quet, Eyke H{ü}llermeier, Vir­ginia Dignum, Frank Dignum and Frank van Harme­len (eds.): ECAI 2016 — Pro­ceed­ings of the 22nd Euro­pean Con­fer­ence on Arti­fi­cial Intel­li­gence, Fron­tiers in Arti­fi­cial Intel­li­gence and Appli­ca­tions. vol. 285 : IOS Press — ISBN 978–1‑61499–672‑9, pp. 1551–1552Simon Bin, Lorenz B{ü}hmann, Jens Lehmann and Axel-Cyrille {Ngonga Ngomo}
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  • Com­par­ing the Opti­miza­tion Behav­iour of Heuris­tics with Topol­o­gy Based Visu­al­iza­tionIn: Adri­an-Horia Dediu, Manuel Lozano and Car­los Mart{\’\i}n‑Vide (eds.): The­o­ry and Prac­tice of Nat­ur­al Com­put­ing, Lec­ture Notes in Com­put­er Sci­ence. vol. 8890 : Springer Inter­na­tion­al Pub­lish­ing — ISBN 978–3‑319–13748‑3, pp. 47–58Simon Bin, Sebas­t­ian Volke, Gerik Scheuer­mann and Mar­tin Middendorf
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