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Most giant enterprises battle to undertake information graphs and semantic fashions given years of investments in legacy mainframe, relational database and information warehousing applied sciences.  As a result of legacy information has been created and retained in supply software schemas with zero semantic construction, the price and complexity to transform to a universal-semantic information mannequin is prohibitive, usually hindering information graph initiatives. How do you untrap 20+ years and petabytes of knowledge and activate it to leverage the advantages of semantics and Information Graphs?  

 
Be part of us on this working session the place we are going to stroll via (1) advances in information codecs, corresponding to JSON Linked Knowledge (JSON-LD), that make conversion of flat, relational information into serialized RDF viable at scale; and (2) advances in machine studying and AI in information classification to automate the linking of semantics to flat, structured information.  By the tip of this session, we may have walked via a situation utilizing Fluree Sense to combine legacy information from a number of conventional information shops onto a Information Graph.