This talk first shows how an in-database machine learning system has been realised by a seamless integration of MonetDB (an open-source analytical columnar DBMS) and TensorFlow (an open-source machine learning library). Then we show with an example application of entity linking using neural embeddings the potential of this integration.

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MonetDB Solutions BV
doi.org/10.1109/ICDE.2018.00208
IEEE International Conference on Data Engineering
Centrum Wiskunde & Informatica, Amsterdam, The Netherlands

Zhang, Y, Koopmanschap, R.A, & Kersten, M.L. (2018). Love at first sight: MonetDB/TensorFlow. In IEEE 34th International Conference on Data Engineering, ICDE 2018. doi:10.1109/ICDE.2018.00208