Seeping Semantics: Linking Datasets Using Word Embeddings for Data Discovery - researchr publication authors

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Raul Castro Fernandez, Essam Mansour, Abdulhakim Ali Qahtan, Ahmed K. Elmagarmid, Ihab F. Ilyas, Samuel Madden, Mourad Ouzzani, Michael Stonebraker, Nan Tang 0001. Seeping Semantics: Linking Datasets Using Word Embeddings for Data Discovery. In 34th IEEE International Conference on Data Engineering, ICDE 2018, Paris, France, April 16-19, 2018. pages 989-1000, IEEE Computer Society, 2018. [doi]

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