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Declare, then auto-generate, simple, controlled, intuitive APIs, that are approachable, no matter your background. Stop wasting time building data access code manually, let the Ontotext Platform auto-generate a fast, flexible, and scalable GraphQL APIs over your RDF knowledgegraph.
An armored KnowledgeGraph platform with enough power to enrich an entire planet. Star Wars KnowledgeGraphs. The Empire Strikes Back. Star Wars RDF Data. Star Wars RDF Model. Visualizing Star Wars RDF Graphs. Querying Star Wars RDF (SPARQL). Return of the Jedi. Where are all the Droids?
To get the most out of Ontotext Platform and its use of GraphQL, your organization should expose a single knowledgegraph. KnowledgeGraph Training. Those of you who are familiar with RDFS / OWL will know that a good model acts as the foundation for the design and build of all the software and APIs that make use of it.
Knowledgegraphs have been proven to be a powerful, scalable and intelligent technology for solving today’s complex business needs. Gartner’s Hype Cycle of Artificial Intelligence 2020 , includes Ontotext as one of the exemplar vendors list for knowledgegraphs. Discoverability, Insights and Decision-Making.
The clear graph approach The original approach leverages the fact that SHACL shapes are just like any other RDF data. When you need to do bulk validation, clear all your graphs that contain SHACL shapes. Low-level validation control from RDF4J The second approach is to drop down to the RDF4J Java API. Starting with GraphDB 10.3
This ultimate weapon will spell certain doom for the small band of rebels still struggling to ignore GraphQL over RDF … My previous post A New Hope: The Rise of the KnowledgeGraph examined the platforms GraphQL query capabilities over an RDF Star Wars data set. Docker Hub, Deployment and Helm Charts. B.
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