Web Data Extraction Based on XBRL-GL Taxonomy

The Web has become one of the most important connections to various information resources. The most interesting challenge is how to extract important data from a large number of Web pages and transform them to more structural, standard and semantic information, which can be queried and analyzed by using matured techniques in database, data warehouse and other fields. We design a wrapper generator by combining the data extraction technique with XBRL technology based on XBRL-GL taxonomy. The wrapper can transform HTML documents to XML forms according to the analysis of HTML document structure, and then use XPath to locate the data. In this way, we can extract the data accurately and store them in a standard form.