Detection and resolution of structural conflictions in heterogeneous XBRL taxonomies

eXtensible Business Reporting Language (XBRL) is a language for the electronic communication of business and financial data, which can offer more efficiency and improved accuracy to suppliers and users of the data. But heterogeneous XBRL taxonomies hinder the interoperability. This paper first gives structural heterogeneity based on Ontology, then analyzes the structural conflictions between one taxonomy which adheres to the base XBRL 2.1 specification and the other which additionally keeps to Dimension 1.0. At last, the paper designs the detection and resolution algorithms. It can help transform a base taxonomy into the dimensional one. It also provide benefits in XBRL data integration, communication and taxonomies mapping.