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What are the key ontology standards you should have in mind? Ontology standards are crucial for knowledge representation and reasoning in AI and data… | 32 comments on LinkedIn

Dynamic Reasoning Graphs + LLMs = 🤝 Large Language Models (LLMs) often stumble on complex tasks when confined to linear reasoning. What if they could… | 10 comments on LinkedIn

And so we set out to understand _feedforward_ graphs (i.e. graphs w/o back edges) ⏩ Turns out these graphs are rather understudied for how often they are…

When (not) to use GraphRAG

Imagine you’re solving a complex puzzle with scattered pieces of information.

🌟 Pathway to Artificial General Intelligence (AGI) 🌟 This is my view on the evolutionary steps toward AGI: 1️⃣ Large Language Models (LLMs): Language models…

Speaker: Gábor Szárnyas (LDBC)Event: Data Analytics developer room at FOSDEM 2025Talk page: https://fosdem.org/2025/schedule/track/analytics/Slides: https://...

Spanner Graph, now GA, includes a notebook experience, query feature and performance improvements and integrations with first- and third-party tools.

We're very happy to announce our latest release of Kùzu, version 0.8.0, is now available and ready to use! This release brings an exciting new feature that…

Here is a usecase of an automated version of Sparnatural submitted as an example for Veronika Heimsbakk’s SHACL for the Practitioner upcoming book about the Shapes Constraint Language (SHACL). “ The Sparnatural knowledge graph explorer leverages SHACL specifications to drive a user interface (UI) that allows end users to easily discover the content of an RDF graph. What…

An app that helps people and teams in the working world simplify their to-do lists — ideally by organizing and doing some of the work for them — has

In my last post, AI Supported Taxonomy Term Generation, I used an LLM to help generate candidate terms for the revision of a topic taxonomy that had fallen out of sync with the content it was meant to tag. In that example, the taxonomy in question is for the "Insights" articles on my consulting webs

Explore its functionality and how it leverages the power of LLMs and Neo4j graph databases to improve data analysis and knowledge discovery.

Ontology is not only about data! Many people think that ontologies are only about data (information). But an information model provides only one perspective… | 85 comments on LinkedIn

Enterprise Ontology: A Human-Centric Approach to Understanding the Essence of Organisation : Dietz, Jan L. G., Mulder, Hans B. F.: Amazon.nl: Boeken

A graph database that supports more than 100+ billion data, high performance and scalability (Include OLTP Engine & REST-API & Backends) - apache/incubator-hugegraph

Organisations have oceans of data, but most remains siloed, fragmented, and underutilized. Enterprise Knowledge Graphs are a practical and scalable solution…

How crazy is it that over 20 years ago, Berners-Lee, Hendler, and Lassila laid out a vision in 'The Semantic Web' that we're only now fully appreciating as the… | 24 comments on LinkedIn

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The recently developed retrieval-augmented generation (RAG) technology has enabled the efficient construction of domain-specific applications. However, it also has limitations, including the gap...

Knowledge graphs are rapidly gaining traction as a way to store and query complex, interlinked data. Two major approaches dominate this…

Enabling an LLM to chat directly with structured graph data

Why AI+Data Architecture Will Transform in 2025

Today, I conducted a comparison between ChatGPT and DeepSeek chat capabilities by providing them with a schema and a natural language question. I tasked them…

David Hughes presented “Unleashing the Power of Multimodal GraphRAG: Integrating Image Features for Deeper Insights” at Data Day Texas 2025.

This study, sponsored by Graphwise, explores LLMs and RAG in enterprises and provides statistics from executives across various industries.

Nicola Guarino Keynote Address for the Ontology Summit 2025 on 22 January 2025 "Ontologies as specifications of conceptualizations: correctness, precision, a...