Performance: All the specifications have been thought out, and proven in practice, to allow for efficient management of graphs of billions of facts and properties.The RDF* extension makes it easy to model provenance and other structured metadata. Expressivity: The standards in the Semantic Web stack – RDF(S) and OWL – allow for a fluent representation of various types of data and content: data schema, taxonomies and vocabularies, all sorts of metadata, reference and master data.Knowledge graphs, represented in RDF, provide the best framework for data integration, unification, linking and reuse, because they combine: Knowledge base, because they bear formal semantics, which can be used to interpret the data and infer new facts.Graph, because they can be analyzed as any other network data structure.Database, because the data can be explored via structured queries.Knowledge graphs combine characteristics of several data management paradigms: Do you want to learn more about Enterprise Knowledge Graphs?
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