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Bridging the Gap Between Industries: The Power of Knowledge Graphs – Part I

Ontotext

Knowledge graphs are changing the game A knowledge graph is a data model that uses semantics to represent real-world entities and the relationships between them. It can apply automated reasoning to extract further knowledge and make new connections between different pieces of data. standards modeled in a knowledge graph!

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KGF 2023: Bikes To The Moon, Datastrophies, Abstract Art And A Knowledge Graph Forum To Embrace Them All

Ontotext

Seen through the three days of Ontotext’s Knowledge Graph Forum (KGF) this year, complexity was not only empowering but key to the growth of knowledge and innovation. If we want to understand and describe how things work and relate, unambiguously exchange data, or reuse it, we need a semantic data model.

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Designing a SemTech Proof-of-Concept: Get Ready for Our Next Live Online Training

Ontotext

There, they can turn the acquired knowledge into a practical solution to their specific business case and strategize about its implementation. In order to feel comfortable and keep up with the training, participants need to have at least a basic understanding of the SPARQL query language and the underlying graph-based data model.

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Designing a SemTech Proof-of-Concept: Get Ready for Our Next Live Online Training

Ontotext

There, they can turn the acquired knowledge into a practical solution to their specific business case and strategize about its implementation. In order to feel comfortable and keep up with the training, participants need to have at least a basic understanding of the SPARQL query language and the underlying graph-based data model.

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Variance and significance in large-scale online services

The Unofficial Google Data Science Blog

In each case, users engage with the service at will and the service makes available a rich set of possible interactions. But the fact that a service could have millions of users and billions of interactions gives rise to both big data and methods which are effective with big data. As the event becomes rarer, this grows as $1/sqrt{p}$.

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AI, the Power of Knowledge and the Future Ahead: An Interview with Head of Ontotext’s R&I Milena Yankova

Ontotext

Milena Yankova : We help the BBC and the Financial Times to model the knowledge available in various documents so they can manage it. We minimized the time between the event (and what the journalist wanted to say about it) and the moment the reader or viewer could consume it. What exactly do you do for them?