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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.
“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.
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 KnowledgeGraph: Schemas and Semantic Metadata Matter.
There’s been a lot of criticism that knowledgegraphs 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 knowledgegraphs, which are perceived to be complex, to our customers?
An armored KnowledgeGraph platform with enough power to enrich an entire planet. An armored KnowledgeGraph platform with enough power to enrich an entire planet. Star Wars KnowledgeGraphs. Star Wars KnowledgeGraphs. Ontotext has built a Star Wars Knowledgegraphusing RDF in order that: .
Graphs and knowledgegraphs 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 knowledgegraphs for linking metadata with semantics.
Enterprise knowledgegraphs (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.
What’s the difference between a graph and a knowledgegraph? Standards-based entitylinking contributes to all three of these goals because it makes it easier to add new, related data that provides context to other entities stored in a GraphDB model.
The metric you choose communicates to your organization what's important to you (the POWERFUL person). That translates directly into what they prioritize when it comes to your digital initiatives. Most content sites are currently monetized using display advertising, most commonly on a Cost Per Thousand Impressions (CPM) basis.
The first version of Talk to YourGraph (or TTYG for short) was released in 2023 and it was my baby. It turned out to be a very confident teenager that still needs guidance but is way more capable than the toddler. I spent less work on chewing and I could focus on using the existing LLM technologies better.
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