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Ontologies vs. Knowledge Graphs
Ontologies vs. Knowledge Graphs
Following up on participation in the Connected Data London conference last week, my latest blog post is "Ontologies vs. Knowledge… | 13 comments on LinkedIn
Ontologies vs. Knowledge Graphs
·linkedin.com·
Ontologies vs. Knowledge Graphs
Open standards for Ontology
Open standards for Ontology
An ontology is like a map of your organisation’s knowledge, built on the concepts and relationships that define your domain. Think of it as your company’s… | 20 comments on LinkedIn
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Open standards for Ontology
🥇 GraphRAG's Biggest Problem Solved | LinkedIn
🥇 GraphRAG's Biggest Problem Solved | LinkedIn
In this issue: A new standard for GraphRAG Replicating OpenAI’s strongest model LLM-”brained” agents for your devices Upgrade here 1. LazyGraphRAG: Setting a new standard for quality and cost Watching: LazyGraphRAG (blog) What problem does it solve? Retrieval Augmented Generation (RAG) has become a
·linkedin.com·
🥇 GraphRAG's Biggest Problem Solved | LinkedIn
SQL vs SPARQL: Two Titans of Data Querying
SQL vs SPARQL: Two Titans of Data Querying
SQL vs SPARQL: Two Titans of Data Querying 💻 When it comes to extracting valuable insights from data, SQL and SPARQL are often compared. But did you know…
SQL vs SPARQL: Two Titans of Data Querying
·linkedin.com·
SQL vs SPARQL: Two Titans of Data Querying
A Graph Neural Network (GNN) won the highly competitive Causal Discovery competition arranged by ADIA Lab
A Graph Neural Network (GNN) won the highly competitive Causal Discovery competition arranged by ADIA Lab
A Graph Neural Network (GNN) won the highly competitive Causal Discovery competition arranged by ADIA Lab. Of course I mean to say that Hicham Hallak won the… | 19 comments on LinkedIn
A Graph Neural Network (GNN) won the highly competitive Causal Discovery competition arranged by ADIA Lab
·linkedin.com·
A Graph Neural Network (GNN) won the highly competitive Causal Discovery competition arranged by ADIA Lab
Agentic Graph Intelligence
Agentic Graph Intelligence
Agentic Graph Intelligence 🕳️ Agentic graph reasoning represents a sophisticated cognitive architecture that integrates multiple advanced components into a…
Agentic Graph Intelligence
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Agentic Graph Intelligence
W3C Semantic Technology Standards | LinkedIn
W3C Semantic Technology Standards | LinkedIn
For newcomers into the world of semantic technology and knowledge graphs, the diagram above illustrates some of the key languages that you may want to look into. RDF RDF defines the very lowest level building blocks of how graphs can be represented.
·linkedin.com·
W3C Semantic Technology Standards | LinkedIn
𝗚𝗿𝗮𝗽𝗵𝗥𝗔𝗚 𝗙𝗶𝗲𝗹𝗱 𝗚𝘂𝗶𝗱𝗲: 𝗡𝗮𝘃𝗶𝗴𝗮𝘁𝗶𝗻𝗴 𝘁𝗵𝗲 𝗪𝗼𝗿𝗹𝗱 𝗼𝗳 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗥𝗔𝗚 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀
𝗚𝗿𝗮𝗽𝗵𝗥𝗔𝗚 𝗙𝗶𝗲𝗹𝗱 𝗚𝘂𝗶𝗱𝗲: 𝗡𝗮𝘃𝗶𝗴𝗮𝘁𝗶𝗻𝗴 𝘁𝗵𝗲 𝗪𝗼𝗿𝗹𝗱 𝗼𝗳 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗥𝗔𝗚 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀
Want better results from your RAG? GraphRAG takes it to the next level. GraphRAG is a powerful approach to retrieval augmented generation (RAG). It… | 46 comments on LinkedIn
𝗚𝗿𝗮𝗽𝗵𝗥𝗔𝗚 𝗙𝗶𝗲𝗹𝗱 𝗚𝘂𝗶𝗱𝗲: 𝗡𝗮𝘃𝗶𝗴𝗮𝘁𝗶𝗻𝗴 𝘁𝗵𝗲 𝗪𝗼𝗿𝗹𝗱 𝗼𝗳 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗥𝗔𝗚 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀
·linkedin.com·
𝗚𝗿𝗮𝗽𝗵𝗥𝗔𝗚 𝗙𝗶𝗲𝗹𝗱 𝗚𝘂𝗶𝗱𝗲: 𝗡𝗮𝘃𝗶𝗴𝗮𝘁𝗶𝗻𝗴 𝘁𝗵𝗲 𝗪𝗼𝗿𝗹𝗱 𝗼𝗳 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗥𝗔𝗚 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀
Label Property Graphs (LPGs) are not ontological-based knowledge graphs because they lack the formal semantics and logical rigor that underpin ontologies
Label Property Graphs (LPGs) are not ontological-based knowledge graphs because they lack the formal semantics and logical rigor that underpin ontologies
Dear LinkedIn Fam, We need to have a conversation about something… Label Property Graphs (LPGs) are not ontological-based knowledge graphs because they lack…
Label Property Graphs (LPGs) are not ontological-based knowledge graphs because they lack the formal semantics and logical rigor that underpin ontologies
·linkedin.com·
Label Property Graphs (LPGs) are not ontological-based knowledge graphs because they lack the formal semantics and logical rigor that underpin ontologies
Working with RDF on LLMs
Working with RDF on LLMs
Working with RDF on LLMs ================== The following is a quick reference list of things I've found when trying to work with the RDF stack on LLMs *… | 14 comments on LinkedIn
Working with RDF on LLMs
·linkedin.com·
Working with RDF on LLMs
Samsung and Apple’s knowledge-centric approaches to secure, personalized AI on phones - DataScienceCentral.com
Samsung and Apple’s knowledge-centric approaches to secure, personalized AI on phones - DataScienceCentral.com
Image by David from Pixabay Mobile phones make it possible to secure and manage personal data on-device, which opens up a novel opportunity for both phone owners and device manufacturers: AI personalization via a data resource that stays on the phone. With the right design, personal knowledge graph on-device could provide contextualization while at the… Read More »Samsung and Apple’s knowledge-centric approaches to secure, personalized AI on phones
·datasciencecentral.com·
Samsung and Apple’s knowledge-centric approaches to secure, personalized AI on phones - DataScienceCentral.com