Integrating and Improving Quality, Trust, and Comprehension of Financial Data Using Semantic Web Technologies: A Proposed Conceptual Model

There is no single data source for financial data. Integrating financial data sources reveals multiple challenges such as lack of a common terminology as well as trust and quality concerns resulting from a lack of knowledge concerning the origins of data.  This research proposes a conceptual methodology to integrate data from multiple sources such as XBRL, Linked Open Data, public data sources, and national and international financial data while maintaining the provenance of the data and integrating the data into a machine understandable format and improving comprehension of the data.  Future directions include the refinement and development of the proposed conceptual methodology.