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- W2086068051 abstract "Automating the conversion of human-readable HTML tables into machine-readable relational tables will enable end-user query processing of the millions of data tables found on the web. Theoretically sound and experimentally successful methods for index-based segmentation, extraction of category hierarchies, and construction of a canonical table suitable for direct input to a relational database are demonstrated on 200 heterogeneous web tables. The methods are scalable: the program generates the 198 Access compatible CSV files in ~0.1s per table (two tables could not be indexed)." @default.
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- W2086068051 date "2014-04-01" @default.
- W2086068051 modified "2023-10-12" @default.
- W2086068051 title "End-to-End Conversion of HTML Tables for Populating a Relational Database" @default.
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- W2086068051 doi "https://doi.org/10.1109/das.2014.9" @default.
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