SEMINT: A tool for identifying attribute correspondences in heterogeneous databases using neural networks

Wen-Syan Li, Chris Clifton. SEMINT: A tool for identifying attribute correspondences in heterogeneous databases using neural networks. Data \& Knowledge Engineering, 33(1):49-84, 2000. [doi]

@article{LiC00:0,
  title = {SEMINT: A tool for identifying attribute correspondences in heterogeneous databases using neural networks},
  author = {Wen-Syan Li and Chris Clifton},
  year = {2000},
  doi = {10.1016/S0169-023X(99)00044-0},
  url = {http://dx.doi.org/10.1016/S0169-023X(99)00044-0},
  researchr = {https://researchr.org/publication/LiC00%3A0},
  cites = {0},
  citedby = {0},
  journal = {Data \& Knowledge Engineering},
  volume = {33},
  number = {1},
  pages = {49-84},
}