Article
Integrating XBRL data with textual information in Chinese: A semantic web approach
International Journal of Accounting Information Systems
(2016)
Abstract
Due to formatting differences, the difficulties of processing the textual disclosures and integrating them with quantitative financial data are well documented in the literature. Using a design science methodology, this paper describes a method that automatically extracts relevant textual data from annual reports published in Chinese. These extracted words are then mapped to a knowledge framework we proposed. This paper shows that it is technologically feasible to reorganize the MD&A contents into any given knowledge structure to improve the search capability, readability, and cohesiveness of the MD&A contents. Finally, we demonstrate a prototype system that uses semantic web technology to achieve information integration that presents XBRL formatted accounting data with relevant textual disclosures together to assist user decision making.
Keywords
- Text analytics,
- Business information retrieval,
- Integration of financial and non-financial information,
- XBRL
Disciplines
Publication Date
June, 2016
DOI
10.1016/j.accinf.2016.04.002
Citation Information
Chi-Chun Chou, C. Janie Chang and Jacob Peng. "Integrating XBRL data with textual information in Chinese: A semantic web approach" International Journal of Accounting Information Systems Vol. 21 (2016) p. 32 - 46 Available at: http://works.bepress.com/chi-chun-chou/4/