Title :
An Algorithm for XBRL Taxonomy Quick Analysis
Author :
Luo, Liming ; Zhu, Jianpeng ; Wang, Ying
Author_Institution :
Coll. of Comput. & Commun. Eng., Grad. Univ. of Chinese Acad. of Sci., Beijing, China
Abstract :
Along with global economic and information technology swift development, eXtensible Business Reporting Language (XBRL) already has become a research focus in the recent years because of its economic significance. More and more researchers pay close attention on how to improvement the performance of XBRL system. With project practice, a new algorithm for taxonomy quick analysis is proposed in this paper. The algorithm can improve the performance of XBRL system remarkably. Through using the algorithm, the performance that user experienced can increase about eight times.
Keywords :
XML; business process re-engineering; information technology; macroeconomics; XBRL taxonomy quick analysis algorithm; extensible business reporting language; global economic development; information technology swift development; Algorithm design and analysis; Business; Documentation; Heuristic algorithms; Software algorithms; Taxonomy; Testing; HashMap; Instance documentation; linkbase; schema; xbrl taxonomy;
Conference_Titel :
Business Computing and Global Informatization (BCGIN), 2011 International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4577-0788-9
Electronic_ISBN :
978-0-7695-4464-9
DOI :
10.1109/BCGIn.2011.93