Method for grasping data from unstructured financial report based on XBRL technology

Abstract

The invention discloses a method for grasping data from an unstructured financial report based on an XBRL technology. The method comprises the specific implementation steps that an XBRL classification standard serves as a financial report model, and extension markup is carried out on classification standard elements and an ELR; the Word or Excel financial report of an unstructured format is used, a rule for analyzing a financial sheet in a sheet mode is preset, and correspondence relation mapping from sheet data to the XBRL classification standard report model is achieved; for two special dimensions of a report body and time, the financial report is matched through special key words, and automatic conversion from the sheet data to the XBRL data is achieved on the basis of the corresponding relation. Compared with the prior art, the method for grasping data from the unstructured financial report based on the XBRL technology rapidly converts a large number of existing unstructured financial reports to be in an XBRL format to be stored, provides data support for analysis and application by enterprises, and promotes application of the XBRL technology in enterprises.

Description

technical field [0001] The invention relates to the field of computer application technology, in particular to a practical method for grabbing data from unstructured financial reports based on XBRL technology. Background technique [0002] With the development of computer and network technology, information is growing at an explosive rate, and data storage forms are becoming more diverse. In addition to the traditional relational database structured storage, there is also a large amount of data stored in an unstructured manner. , such as ordinary text files, Office documents, emails, or electronic documents in other formats. These data are generally limited by different application software and must be opened with specific software. It is difficult to exchange data between different systems. According to Forrest Research, a well-known international research institution Statistics show that only about 15% of the information is stored in structured databases, and more than 85%...

AI Technical Summary

Problems solved by technology

[0002] With the development of computer and network technology, information is growing at an explosive rate, and data storage forms are becoming more diverse. In addition to the traditional relational database structured storage, there is also a large amount of data stored in an unstructured manner. , such as ordinary text files, Office documents, emails, or electronic documents in other formats. These data are generally limited by different application software and must be opened with specific software. It is difficult to exchange data between different systems. According to Forrest Research, a well-known international research institution Statistics show that only about 15% of the information is stored in structured databases, and more than 85% of the information is stored in unstructured ways, which cannot be used effectively due to limited formats; in the field of financial reporting, more So, due to the lack of standards, the exchange and transmission of information between different application subjects of financial reports mainly use unstructured formats such as Office documents

Images