XBRL Model Ontology

• In Event: Emerging Technologies

Abstract

This paper addresses the problem of using XBRL instance documents for the purpose of deriving the semantic meanings of the content. These semantics are used to derive business intelligence in the semantic context of the instance documents. XBRL has long held the promise of increasing the usefulness of XBRL tagged data for business analytics and business intelligence. However, due to the use of many different taxonomies and taxonomy extensions, automatically extracting the semantic content from an arbitrary XBRL instance document remains a daunting task. This paper uses the XBRL Abstract Model and the EDM Council / OMG Financial Domain Task Force’s Financial Industry Business Ontology (FIBO) as starting points to begin construction of a model of the syntactic and semantic problem space which needs to be navigated in order to address this issue in a robust way. The design science research paradigm is used as the research methodology. It is shown that solutions to this problem must proceed by the creation of a set of artifacts which will resolve classes of sub-problems in the syntactic and semantic conceptual spaces.

Author

• Rob Nehmer, Oakland University