Semantic Integration Approach to Efficient Business Data Supply Chain: Integration Approach to Inter-Operable XBRL
Hongwei (Harry) Zhu
Old Dominion University; Massachusetts Institute of Technology (MIT)
Massachusetts Institute of Technology (MIT) - Sloan School of Management
MIT Sloan School of Management Research Paper Series
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.
Number of Pages in PDF File: 10
Keywords: XBRL, semantic data integration, context mediation, ontology, schema matching
JEL Classification: M41, M45, K22working papers series
Date posted: December 19, 2007
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