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SimGRAG is a novel method for knowledge graph driven RAG, transforms queries into graph patterns and aligns them with candidate subgraphs using a graph semantic distance metric
SimGRAG is a novel method for knowledge graph driven RAG, transforms queries into graph patterns and aligns them with candidate subgraphs using a graph semantic distance metric
SimGRAG is a novel method for knowledge graph driven RAG, transforms queries into graph patterns and aligns them with candidate subgraphs using a graph…
SimGRAG is a novel method for knowledge graph driven RAG, transforms queries into graph patterns and aligns them with candidate subgraphs using a graph semantic distance metric
·linkedin.com·
SimGRAG is a novel method for knowledge graph driven RAG, transforms queries into graph patterns and aligns them with candidate subgraphs using a graph semantic distance metric
KGC Resource Hub
KGC Resource Hub
We're excited to announce the launch of the KGC Resource Hub (https://lnkd.in/gSaVmS8V), in collaboration with our friends at metaphacts GmbH! 🚀 The KGC…
KGC Resource Hub
·linkedin.com·
KGC Resource Hub
Transforming Data into Dialogue: Knowledge Graphs and Ontologies at the Heart of AI-Powered SEO | LinkedIn
Transforming Data into Dialogue: Knowledge Graphs and Ontologies at the Heart of AI-Powered SEO | LinkedIn
In today’s digital scenario, where AI-driven search and discovery platforms are redefining the rules of online engagement, businesses must rethink how they structure and present their data. At Connected Data London 2024, I had the privilege to speak about the transformative power of knowledge graphs
·linkedin.com·
Transforming Data into Dialogue: Knowledge Graphs and Ontologies at the Heart of AI-Powered SEO | LinkedIn
Capgemini: a perspective on the art of semantic interoperability and how to use it to create relevant data dialogs in data ecosystems.
Capgemini: a perspective on the art of semantic interoperability and how to use it to create relevant data dialogs in data ecosystems.
2024 is coming to an end and the holidays provide a little time to rest. If you are searching for an interesting read I can recommend our latest Data Powered…
a perspective on the art of semantic interoperability and how to use it to create relevant data dialogs in data ecosystems.
·linkedin.com·
Capgemini: a perspective on the art of semantic interoperability and how to use it to create relevant data dialogs in data ecosystems.
SFIA 9 in RDF
SFIA 9 in RDF
How Semantic Partners converted the SFIA competency framework dataset to RDF, and made it available through the SFIA foundation.
·semanticpartners.com·
SFIA 9 in RDF
Panama Papers Investigation using Entity Resolution and Entity Linking
Panama Papers Investigation using Entity Resolution and Entity Linking
This article demonstrates how developers or investigative journalists can use Senzing entity resolution (ER) to work with unstructured documents. In particular, given that ER has been used with structured data sources to construct a domain-specific KG, the results of ER can be leveraged to customise entity linking (EL) downstream, for example using spaCy — as an alternative to off-the-shelf EL sources such as DBPedia.
·guitton.co·
Panama Papers Investigation using Entity Resolution and Entity Linking
Knowledge Engineer - In Parallel
Knowledge Engineer - In Parallel
Empower enterprises to turn strategy into action! As a Knowledge Engineer at In Parallel, you'll craft ontologies and knowledge graphs to drive AI-powered strategic alignment and execution. Joi...
·careers.in-parallel.com·
Knowledge Engineer - In Parallel
Graph resoning in Large Language Models
Graph resoning in Large Language Models
ICYMI, here are the slides from our standing room only talk at NeurIPS yesterday! Concepts we discuss include: ➡️ Quantifying how much Transformer you need to… | 18 comments on LinkedIn
·linkedin.com·
Graph resoning in Large Language Models
Connected Data community and discipline
Connected Data community and discipline
My colleague Su Zun and I spent a very enjoyable 3 days last week with the linked data community at Connected Data London. It was fantastic, and I'm so looking…
·linkedin.com·
Connected Data community and discipline
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
·linkedin.com·
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
Graphs + Transformers = the best of both worlds
Graphs + Transformers = the best of both worlds
Graphs + Transformers = the best of both worlds 🤝 The same models powering breakthroughs in natural language processing are now being adapted for graphs…
Graphs + Transformers = the best of both worlds
·linkedin.com·
Graphs + Transformers = the best of both worlds
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
·linkedin.com·
Agentic Graph Intelligence