Semantic Integration Approach to Efficient Business Data Supply Chain: Integration Approach to Interoperable XBRL
As an open standard for electronic communication of business and financial data, XBRL has the potential of improving the efficiency of the business data supply chain. A number of jurisdictions have developed different XBRL taxonomies as their data standards. Semantic heterogeneity exists in these ta...
Main Authors: | , |
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Format: | Working Paper |
Language: | en_US |
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Massachusetts Institute of Technology. Engineering Systems Division
2016
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Online Access: | http://hdl.handle.net/1721.1/102855 |
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author | Zhu, Hongwei Madnick, Stuart E. |
author_facet | Zhu, Hongwei Madnick, Stuart E. |
author_sort | Zhu, Hongwei |
collection | MIT |
description | As an open standard for electronic communication of business and financial data, XBRL has the potential of improving the efficiency of the business data supply chain. A number of jurisdictions have developed different XBRL taxonomies as their data standards. Semantic heterogeneity exists in these taxonomies, the corresponding instances, and the internal systems that store the original data. Consequently, there are still substantial difficulties in creating and using XBRL instances that involve multiple taxonomies. To fully realize the potential benefits of XBRL, we have to develop technologies to reconcile semantic heterogeneity and enable interoperability of various parts of the supply chain. In this paper, we analyze the XBRL standard and use examples of different taxonomies to illustrate the interoperability challenge. We also propose a technical solution that incorporates schema matching and context mediation techniques to improve the efficiency of the production and consumption of XBRL data. |
first_indexed | 2024-09-23T13:09:28Z |
format | Working Paper |
id | mit-1721.1/102855 |
institution | Massachusetts Institute of Technology |
language | en_US |
last_indexed | 2024-09-23T13:09:28Z |
publishDate | 2016 |
publisher | Massachusetts Institute of Technology. Engineering Systems Division |
record_format | dspace |
spelling | mit-1721.1/1028552019-04-12T16:23:49Z Semantic Integration Approach to Efficient Business Data Supply Chain: Integration Approach to Interoperable XBRL Zhu, Hongwei Madnick, Stuart E. As an open standard for electronic communication of business and financial data, XBRL has the potential of improving the efficiency of the business data supply chain. A number of jurisdictions have developed different XBRL taxonomies as their data standards. Semantic heterogeneity exists in these taxonomies, the corresponding instances, and the internal systems that store the original data. Consequently, there are still substantial difficulties in creating and using XBRL instances that involve multiple taxonomies. To fully realize the potential benefits of XBRL, we have to develop technologies to reconcile semantic heterogeneity and enable interoperability of various parts of the supply chain. In this paper, we analyze the XBRL standard and use examples of different taxonomies to illustrate the interoperability challenge. We also propose a technical solution that incorporates schema matching and context mediation techniques to improve the efficiency of the production and consumption of XBRL data. 2016-06-02T17:44:14Z 2016-06-02T17:44:14Z 2008-01 Working Paper http://hdl.handle.net/1721.1/102855 en_US ESD Working Papers;ESD-WP-2008-02 application/pdf Massachusetts Institute of Technology. Engineering Systems Division |
spellingShingle | Zhu, Hongwei Madnick, Stuart E. Semantic Integration Approach to Efficient Business Data Supply Chain: Integration Approach to Interoperable XBRL |
title | Semantic Integration Approach to Efficient Business Data Supply Chain: Integration Approach to Interoperable XBRL |
title_full | Semantic Integration Approach to Efficient Business Data Supply Chain: Integration Approach to Interoperable XBRL |
title_fullStr | Semantic Integration Approach to Efficient Business Data Supply Chain: Integration Approach to Interoperable XBRL |
title_full_unstemmed | Semantic Integration Approach to Efficient Business Data Supply Chain: Integration Approach to Interoperable XBRL |
title_short | Semantic Integration Approach to Efficient Business Data Supply Chain: Integration Approach to Interoperable XBRL |
title_sort | semantic integration approach to efficient business data supply chain integration approach to interoperable xbrl |
url | http://hdl.handle.net/1721.1/102855 |
work_keys_str_mv | AT zhuhongwei semanticintegrationapproachtoefficientbusinessdatasupplychainintegrationapproachtointeroperablexbrl AT madnickstuarte semanticintegrationapproachtoefficientbusinessdatasupplychainintegrationapproachtointeroperablexbrl |