Jonathan Lajus

jlajus AT enst D0T fr

About me

I am a newly qualified high school teacher in Computer Science. I also continue to maintain the AMIE project.

And before,

I was a PhD student in the DIG Team at Telecom ParisTech (Paris, France). I worked on rule mining in incomplete knowledge graphs under the supervision of Fabian Suchanek.

Master degree in Computer Science ("D&K") obtained in 2016. Former student of ENS Cachan (now known as ENS Paris-Saclay).


LAJUS Jonathan and MÜHLEISEN Hannes. Efficient data management and statistics with zero-copy integration. In : Proceedings of the 26th International Conference on Scientific and Statistical Database Management. ACM, 2014. p. 12.

LAJUS Jonathan and SUCHANEK Fabian M. Are All People Married?: Determining Obligatory Attributes in Knowledge Bases. In : Proceedings of the 2018 World Wide Web Conference on World Wide Web. International World Wide Web Conferences Steering Committee, 2018. p. 1115-1124. Resources (paper)

SUCHANEK Fabian M., LAJUS Jonathan, BOSCHIN Armand, and WEIKUM Gerhard. Knowledge representation and rule mining in entity-centric knowledge bases. In : Reasoning Web. Explainable Artificial Intelligence. Springer, Cham, 2019. p. 110-152. (paper)

LAJUS Jonathan, GALÁRRAGA Luis, and SUCHANEK Fabian M. Fast and Exact Rule Mining with AMIE 3. In : European Semantic Web Conference. Springer, Cham, 2020. p. 36-52. AMIE (paper)