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.

Additional Metadata
Keywords In database analytics, In database entity linking, In database machine learning, Monetdb, Tensorflow
Stakeholder MonetDB Solutions BV
Persistent URL dx.doi.org/10.1109/ICDE.2018.00208
Conference IEEE International Conference on Data Engineering
Citation
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