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Declarative Knowledge Graph APIs

Ontotext

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 knowledge graph.

Modeling 130
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What Is Ad Hoc Reporting? Your Guide To Definition, Meaning, Examples & Benefits

datapine

“The goal is to turn data into information, and information into insight.” – Carly Fiorina, former executive, president, HP. Digital data is all around us. In this day and age, a failure to leverage digital data to your advantage could prove disastrous to your business – it’s akin to walking down a busy street wearing a blindfold.

Reporting 260
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RDF-Star: Metadata Complexity Simplified

Ontotext

And yeah, the real-world relationships among the entities represented in the data had to be fudged a bit to fit in the counterintuitive model of tabular data, but, in trade, you get reliability and speed. Graph Databases vs Relational Databases. Not Every Graph is a Knowledge Graph: Schemas and Semantic Metadata Matter.

Metadata 119
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You Cannot Get to the Moon on a Bike!

Ontotext

There’s been a lot of criticism that knowledge graphs are too complex. In Computer Science, we are trained to use the Okham razor – the simplest model of reality that can get the job done is the best one. So, why do we recommend knowledge graphs, which are perceived to be complex, to our customers?

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A New Hope: The Rise of the Knowledge Graph

Ontotext

An armored Knowledge Graph platform with enough power to enrich an entire planet. An armored Knowledge Graph platform with enough power to enrich an entire planet. Star Wars Knowledge Graphs. Star Wars Knowledge Graphs. Ontotext has built a Star Wars Knowledge graph using RDF in order that: .

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Choosing A Graph Data Model to Best Serve Your Use Case

Ontotext

Graphs and knowledge graphs are all around us. We use them every day without realizing. For example, GPS, social media, cell phone handoffs are modeled as graphs while data catalogs, data lineage and MDM tools leverage knowledge graphs for linking metadata with semantics.

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Benchmark Results Position GraphDB As the Most Versatile Graph Database Engine

Ontotext

Enterprise knowledge graphs (EKG) require graph databases, which serve multiple purposes. The engines must facilitate the advanced data integration and metadata data management scenarios where an EKG is used for data fabrics or otherwise serves as a data hub between diverse data and content management systems.