Abstract
As the world’s largest information sharing platform, web pages contain a large amount of table data. However, these table data emphasize the presentation of data to users in a more intuitive way, which cannot be understood by computers. How to obtain large-scale web table data and carry out in-depth applications has become the focus of data science. This paper designs an extraction framework for Chinese Web table data. This framework extracts Web table data containing Chinese from the Web and constructs an open Chinese Web table data set CWTs (Chines Web Tables). The data set is quantitatively analyzed in multiple dimensions such as scale and data distribution. The results show that the data set obtained in this paper can provide a preliminary data basis for table data query, question answering system, and knowledge base construction, at the same time provide an optional channel for building a large-scale machine-understandable Chinese knowledge base.
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