A scalable hybrid approach for extracting head components from Web tables

  title={A scalable hybrid approach for extracting head components from Web tables},
  author={Sung-Won Jung and Hyuk-Chul Kwon},
  journal={IEEE Transactions on Knowledge and Data Engineering},
We have established a preprocessing method for determining the meaningfulness of a table to allow for information extraction from tables on the Internet. A table offers a preeminent clue in text mining because it contains meaningful data displayed in rows and columns. However, tables are used on the Internet for both knowledge structuring and document design. Therefore, we were interested in determining whether or not a table has meaningfulness that is related to the structural information… CONTINUE READING
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