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

fYear

2011

fDate

29-31 July 2011

Firstpage

347

Lastpage

350

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/BCGIn.2011.93

Filename

6003895