Mining Tables from Large Scale HTML Texts

Table is a very common presentation scheme, but few papers touch on table extraction in text data mining. This paper focuses on mining tables from large-scale HTML texts. Table filtering, recognition, interpretation, and presentation are discussed. Heuristic rules and cell similarities are employed to identify tables. The F-measure of table recognition is 86.50%. We also propose an algorithm to capture attribute-value relationships among table cells. Finally, more structured data is extracted and presented.

• Type: Conference
• Year: 2000
• Where: COLING
• Authors: Hsin-Hsi Chen, Shih-Chung Tsai, Jin-He Tsai
• Keywords: COLING 2000, COLING 2008, Common Presentation Scheme, Table Extraction, Text Data Mining