An ontology-augmented XBRL extended model for financial information analysis

Author

Li, Bai ; Liu Min

Author_Institution

Accounting Dept., Shanghai Lixin Univ. of Commerce, Shanghai, China

Volume

3

fYear

2009

fDate

20-22 Nov. 2009

Firstpage

99

Lastpage

103

Abstract

The field of financial information analysis and decision is a conceptually rich domain where information is complex, huge in volume and a highly valuable business product by itself. XBRL needs significant extensions when faced to the actual needs of content managers that deal with advanced financial information. This paper designs an ontology-augmented XBRL extended model and one system architecture for financial information analysis and decision by adopting semantic Web technologies and standards to provide more insightful semantics and a sharper level of representation for finance analysis.

Keywords

content management; financial data processing; information analysis; ontologies (artificial intelligence); semantic Web; content managers; financial information analysis; ontology-augmented XBRL extended model; semantic Web technologies; system architecture; Content management; Finance; Financial management; ISO standards; Information analysis; Ontologies; Semantic Web; Taxonomy; Vocabulary; XML; Finance; Ontology; Semantic Web; XBRL;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-4754-1

Electronic_ISBN

978-1-4244-4738-1

Type

conf

DOI

10.1109/ICICISYS.2009.5358208

Filename

5358208