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Semantization of Regulatory Documents in AECO

Ontotext

The role of knowledge graphs in AECO transformation At present, knowledge graphs are the best-known technology capable of offering decentralized ways of going beyond existing data silos. They enable the interlinking of various data sources and provide deeper insights, considering multiple points of interest.

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

Ontotext

Well, it’s all thanks to knowledge graphs. 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. Read our post: Okay, You Got a Knowledge Graph Built with Semantic Technology… And Now What?

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Can LLMs Become Knowledgeable – Impressions from Day 1 At SEMANTiCS 2023

Ontotext

Are LLMs Knowledgeable? And Other Crazy Ideas) The official conference started with a bang: Xina Lunda Dong’s presentation: Generations of Knowledge Graphs : The Crazy Ideas and the Business Impact [ PPT ]. You can also play with ESG + Knowledge Graph or read about PoolPary meeting ChatGPT ).

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Semantic Search for Smart Data Discovery in the Pharma Industry

Ontotext

To stay up to date with all the novelties in their fields and to gain knowledge and insights from the huge and disparate data sources, Pharma companies are one of the first ones to turn to intelligent data management solutions. The post Semantic Search for Smart Data Discovery in the Pharma Industry appeared first on Ontotext.

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On the Hunt for Patterns: from Hippocrates to Supercomputers

Ontotext

These are the so-called supercomputers, led by a smart legion of researchers and practitioners in the fields of data-driven knowledge discovery. And this is what Ontotext’s role in the project is about: knowledge graphs. Behind the scenes of linking histopathology data and building a knowledge graph out of it.

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Enabling Integration and Interoperability Across the Grid with Knowledge Graphs

Ontotext

This initiative increases roles for prosumers, energy communities, and distributed energy resources, precipitating increased and more complex communications for organisations such as TSOs. Another important standard is the Energy Identification Code (EIC), which is used for global identifiers of energy resources and parties.

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Ontotext’s Semantic Approach Towards LLM, Better Data and Content Management: An Interview with Doug Kimball and Atanas Kiryakov

Ontotext

What is the future of knowledge graphs in the era of ChatGPT and Large Language Models? Atanas Kiryakov: Knowledge graphs will prosper in the ChatGPT era. LLM will not replace knowledge graphs either. It’s important to realize that knowledge graphs can be used to fine tune and customize LLMs.