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Big Data, Data Science and Databases

Research Objectives

The Big Data group is a new research group at the University of Luxembourg that has been established in February 2017. The group investigates scalable architectures for the distributed indexing, querying and analysis of large volumes of data. A particular focus is put on information extraction, probabilistic databases and the development of distributed graph- and streaming engines. We thus investigate the whole lifecycle of semantic-data management, beginning with the extraction of entities and relations from textual and semi-structured sources and on to data-cleaning aspects and probabilistic inference.

We intensively worked with the Hadoop and Spark platforms for research and teaching in the past, but are also highly interested in developing custom prototypes based on proprietary, asynchronous communication protocols.

Past Members

Past Visiting Members

Valentina Leone
Doctoral Candidate
Yan Wu
Doctoral Candidate






  • Deontic Agency and Moral Luck, Meder Paul Joseph Yves, Jury: van der Torre Leon (Promotor), Theobald Martin (Member), Parent Xavier (Member), Benzmüller Christoph (Member).



    Conference Paper

  • Distributed Set Reachability, Gurajada Sairam, Theobald Martin. In: Proceedings of the 2016 International Conference on Management of Data, SIGMOD Conference 2016, San Francisco, CA, USA, June 26 - July 01, 2016.
  • Summary Generation for Temporal Extractions, Wang Yafang, Ren Zhaochun, Theobald Martin, Dylla None, Melo Gerard De. In: Database and Expert Systems Applications - 27th International Conference (DEXA 2016), Springer.