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

No abstract is available for this paper.

• Publication year

  2000

• Venue

  Data & Knowledge Engineering

• Publication date

  2000-04-01

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1016/s0169-023x(99)00044-0
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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