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DESCRIPTION:Click for Latest Location Information: http://semtechbiznyc2012.semanticweb.com/sessionPop.cfm?confid=68&proposalid=4927\nIn the era of evolving regulatory reform and Big Data, traditional data warehousing approaches face various challenges from rigid data models to lengthy and costly ETL processes.  We are looking into semantic web technologies for more flexible and agile solutions. In our work, we created models in RDFS/OWL covering several financial asset classes. Using Revelytix semantic technology products (Spyder and Spinner), we built a system to integrate the trading data for these asset classes from dispersed and heterogeneous data stores, and provided reports & analysis on overall cash flow and positions. We explored the merging of RDFS models and applying multiple models to the same sets of underlying data.  This approach allows us to apply dynamically extendable models with business focus to the data ? as opposed to having to structure the source data to a pre-determined model.  It provides a quite few benefits in our view.  We will cover the details of our work in the following topics:\n1.	System Architecture\n2.	Business Data Models\n3.	Data Reporting and Analysis\n4.	Technology Focuses:\n                       a)  RDBMS-to-RDF Mapping (R2RML)\n                       b)  Merging/Extending RDF/OWL Data Models
DTSTART:20121016T151500
SUMMARY:Agile Data Analysis and Reporting Using Semantic Technologies
DTEND:20121016T161459
LOCATION: See Description
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