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Through this series of blog posts, we’ll discuss how to best scale and branch out an analytics solution using a knowledge graph technology stack. For the use case that this blog will explore, we have picked a perfect blend of the exciting and the fairly boring – building compliance. Dealing with spreadsheets via OntoRefine.
In our previous blog post of the series, we covered how to ingest data from different sources into GraphDB , validate it and infer new knowledge from the extant facts. But now the bottleneck movesfrom data processing towards data gathering. The good news is that we are no longer using spreadsheets.
So far we have covered the capabilities and business applications of knowledge graphs as well as some of the major benefits of our RDFdatabase – GraphDB. But although RDF allows you to build knowledge graphs across datasets with federated queries, there is still a large number of databases that do not run on RDF.
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