An Ontology-augmented XBRL Eztended Model for Financial Information Analysis

摘要：

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.

关键词： XBRL Ontology Semantic Web Finance.

作者: Bai Li Liu Min

作者单位: Accounting Department,Shanghai Lixin University of Commerce,Shanghai 201620,China School of Electronic and Information Engineering,Tongji University,Shanghai 200092,China

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems(2009 IEEE 智能计算与智能系统国际会议)

会议地点: 上海

会议语种:英文

页码: 1914-1918

在线出版日期: 2009-11-20（万方平台首次上网日期，不代表论文的发表时间）