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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Bai Li Liu Min |
| Copyright Year | 2009 |
| Description | Author affiliation: School of Electronic and Information Engineering, Tongji University, Shanghai 200092, China (Liu Min) || Accounting Department, Shanghai Lixin University of Commerce, 201620, China (Bai Li) |
| 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. |
| Starting Page | 99 |
| Ending Page | 103 |
| File Size | 141368 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424447541 |
| DOI | 10.1109/ICICISYS.2009.5358208 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-11-20 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Semantic Web Vocabulary Content management Ontology Taxonomy Finance XML ISO standards Ontologies Financial management XBRL Information analysis |
| Content Type | Text |
| Resource Type | Article |
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