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Publications

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Sebastian Breß, Henning Funke, Jens Teubner, Volker Markl (2016). Robust Query Processing in Co-Processor-accelerated Databases.. Proceedings of the LWA 2016 Workshops: KDML, FGWM, IR, and FGDB, 233.


Malte Schwarzer and Moritz Schubotz and Norman Meuschke and Corinna Breitinger and Volker Markl and Bela Gipp (2016). Evaluating Link-based Recommendations for Wikipedia. Proceedings of the 16th ACM/IEEE-CS on Joint Conference on Digital Libraries, JCDL 2016, Newark, NJ, USA, June 19 - 23, 2016, 191–200.

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Schubotz, Moritz; Grigorev, Alexey; Leich, Marcus; Cohl, Howard S.; Meuschke, Norman; Gipp, Bela; Youssef, Abdou S.; Markl, Volker (2016). Semantification of Identifiers in Mathematics for Better Math Information Retrieval. SIGIR '16 : Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 135-144.

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Moritz Schubotz and Gabriel Wicke (2014). Mathoid: Robust, Scalable, Fast and Accessible Math Rendering for Wikipedia. Intelligent Computer Mathematics - International Conference, CICM 2014, Coimbra, Portugal, July 7-11, 2014. Proceedings, 224–235.

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Moritz Schubotz and Abdou Youssef and Volker Markl and Howard S. Cohl (2015). Challenges of Mathematical Information Retrievalin the NTCIR-11 Math Wikipedia Task. Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, Santiago, Chile, August 9-13, 2015, 951–954.

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Michael Schermann and Holmer Hemsen and Christoph Buchmüller and Till Bitter and Helmut Krcmar and Volker Markl and Thomas Hoeren (2014). Big Data - Eine interdisziplinäre Chance für die Wirtschaftsinformatik. Wirtschaftsinformatik, 281–287.

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Michael Schermann and Holmer Hemsen and Christoph Buchmüller and Till Bitter and Helmut Krcmar and Volker Markl and Thomas Hoeren (2014). Big Data - An Interdisciplinary Opportunity for Information Systems Research. Business & Information Systems Engineering, 261–266.

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Schelter, Sebastian and Ewen, Stephan and Tzoumas, Kostas and Markl, Volker (2013). “All Roads Lead to Rome:” Optimistic Recovery for Distributed Iterative Data Processing. Proceedings of the ACM conference on Information and Knowledge Management} year={2013

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Schelter, Sebastian and Boden, Christoph and Schenck, Martin and Alexandrov, Alexander and Markl, Volker (2013). Distributed matrix factorization with MapReduce using a series of broadcast-joins. Proceedings of the 7th ACM conference on Recommender systems, 281–284.

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