Read our final post from this series focusing on how GraphDB and Ontotext Platform provide an architecture that can work on any infrastructure resulting in a well-deployed and well-visualized knowledge graph.
Read about how knowledge graphs help data preparation for analysis tasks and enables contextual awareness and smart search of data by virtue of formal semantics.
Stop wasting time, manually building data access code. Let the Ontotext platform auto-generate a fast, flexible, and scalable GraphQL API over your RDF knowledge graph.
Read about the newest version of Ontotext Platform and how it brings the power of knowledge graphs to everyone to solve today’s complex business needs..
Read how you can use Ontotext Platform’s GraphQL federation capabilities to provide a unified interface for querying all of your data sources in context and allow clients to fetch data from any number of data sources simultaneously, without needing to know which data comes from which source.
Read about KGC 2020 and how knowledge graphs-based technologies continue to advance into mainstream enterprise operations.
