SEMA-JOIN: Joining Semantically-Related Tables Using Big Table Corpora

@article{He2015SEMAJOINJS,
  title={SEMA-JOIN: Joining Semantically-Related Tables Using Big Table Corpora},
  author={Yeye He and Kris Ganjam and Xu Chu},
  journal={PVLDB},
  year={2015},
  volume={8},
  pages={1358-1369}
}
Join is a powerful operator that combines records from two or more tables, which is of fundamental importance in the field of relational database. However, traditional join processing mostly relies on string equality comparisons. Given the growing demand for ad-hoc data analysis, we have seen an increasing number of scenarios where the desired join relationship is not equi-join. For example, in a spreadsheet environment, a user may want to join one table with a subject column country-name, with… CONTINUE READING

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