Triplificating and linking XBRL financial data
Roberto Garcı́a, Rosa Gil
Abstract
Roberto Garcı́a, Rosa Gil
Abstract
One of the main ways of populating the Web of Data is by triplifying existing data sources. One interesting candidate for this approach is data based on the XML Business Reporting Language (XBRL), a standard for business and financial reporting. Many institutions are making available or requiring data in this format, e.g. the US SEC through the EDGAR program. However, XBRL data is loosely interconnected and it is difficult to mix and query it. Our contribution is a translation from XBRL filings to linked data, which we have applied to more than 1000 filings obtaining 3 million triples. The resulting semantic data is easier to integrate and cross query. Moreover, it can be interconnected with the rest of the Web of Data in order to extract its full potential.
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One of the main ways of populating the Web of Data is by triplifying existing data sources. One interesting candidate for this approach is data based on the XML Business Reporting Language (XBRL), a standard for business and financial reporting. Many institutions are making available or requiring data in this format, e.g. the US SEC through the EDGAR program. However, XBRL data is loosely interconnected and it is difficult to mix and query it. Our contribution is a translation from XBRL filings to linked data, which we have applied to more than 1000 filings obtaining 3 million triples. The resulting semantic data is easier to integrate and cross query. Moreover, it can be interconnected with the rest of the Web of Data in order to extract its full potential.
Key concepts: XBRL, XML, Computer science, Business reporting, Order (exchange), Database, Semantic Web, Information retrieval