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DESCRIPTION:Click for Latest Location Information: http://edw2015.dataversity.net/sessionPop.cfm?confid=87&proposalid=7221\nA quarter to a half of all enterprise data is reference data or codes. It is critical to business and a significant source of operational risk. Yet there has been relatively little focus on reference data and its importance as an enterprise asset. Better management and governance of reference data clearly has high business value and, as a result it is starting to get a lot more attention. \nThis raises a key question: What is the best way to care for reference data to make it more meaningful, including knowing where it is used, where it comes from, and what it means in the context of applications that use it. \nThis talk will examine how semantic technologies offer an optimal platform for effective Reference Data Management. Based on a rich knowledge representation and standard query language, semantic technologies enable many capabilities to support a comprehensive solution, including:\na flexible NoSQL data model for dynamic modeling of reference data and support for its evolution\nrepresentation of any connections in a standards-based way that can be queried at runtime\nagile business rules for data governance\nprovisioning of reference data with responsiveness to change in dependent systems and databases\nestablishing a direct relationship of the reference data with the business terminology\nexposing reference data as part of the growing Linked data universe
DTSTART:20150401T104500
SUMMARY:Making Reference Data More Meaningful:  Benefits of a Semantic Standards-based Approach
DTEND:20150401T122959
LOCATION: See Description
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