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DESCRIPTION:Click for Latest Location Information: http://fibo2016.dataversity.net/sessionPop.cfm?confid=101&proposalid=8885\nRisk data aggregation reporting (BCBS239) is a new regulatory requirement affecting global banking. The regulation requires banks to produce new and changeable reports on risk factors while demonstrating data governance. We make the case that the most effective route to compliance is by using an ontology, such as one based on FIBO. Reporting is enabled by semantic data virtualization technology, using W3C standards (i.e. R2RML) to translate queries from SPARQL into conventional database queries. \nSemantic queries are used to recreate existing bank reporting templates and provide the means to extend and vary these quickly, with minimal application development. The non-disruptive nature of this architecture means that existing bank systems of record are used, without the need for centralized data storage (relational or graph database). Existing data quality measures remain unaffected. An initial probabilistic mapping method is applied for each data source and queries may be built visually by business analysts.\nUsing ontology to originate reports from existing data sources\nSemantic Data Virtualization technologies compliant with the W3C R2RML standard\nA reference ontology uses and extends FIBO\nSystemically important banks can demonstrate BCBS239-compliant risk reporting\nReports are created using SPARQL (semantic querying) via graphical query production
DTSTART:20160419T150000
SUMMARY:A Semantic Solution for Risk Data Aggregation Reporting
DTEND:20160419T162959
LOCATION: See Description
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