Title :
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
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;
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
DOI :
10.1109/ICICISYS.2009.5358208
