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The Evolution of Intelligent Recommendations with Agentic Graph Systems ➿ Agentic graph systems for recommendation represent a sophisticated fusion of…

Exploring OWL Ontologies Visually: A Paradigm Shift in Understanding 🌐 When diving into the world of Web Ontologies (OWL), it's easy to get caught up in…

🚀 Breaking Boundaries in Graph + Retrieval-Augmented Generation (RAG)! 🌐🤖 The rapid pace of innovation in combining graphs with RAG is absolutely…

Amazon’s AGI Information is seeking an exceptional Senior Ontologist to drive ontology advancements. The team is innovating to optimize knowledge graph ontology for LLM understanding.We're looking for a Sr Ontologist to join us in sunny Santa Barbara and help us build this future. As a member of the team, you will have the opportunity to work on interesting cutting edge problems with immediate customer impact. Your initial focus will be on developing LLM friendly ontologies and you will have the opportunity to work with product managers, engineers, and scientists to develop tools to help on this endeavor. A successful candidate has a strong background with building knowledge systems to deliver world-class, intuitive, and comprehensive taxonomy and ontology models, a proven track record of innovation to adapt to the new work of LLM, and experience with leading a team of ontologists.As a Senior Ontologist, you will leverage your technical expertise and experience to demonstrate leadership in modeling large complex knowledge systems. Your first responsibility will be to structure a team of ontologists to deliver LLM friendly ontology for tens of verticals to feed the Amazon Knowledge Graph with trustworthy, live-updating, high-quality, and accurate structured information about all entities and data of interest to our customers. You will define roadmaps and goals to make progress incrementally and you will insist on delivering results leading by example.Key job responsibilities- Develop logical, semantically rich, and extensible data models for Amazon's extensive product catalog- Ensure our ontologies provide comprehensive domain coverage that are available for both human and machine ingestion and inference- Create new schema using Generative Artificial Intelligence (generative AI) models- Analyze website metrics and product discovery behaviors to make data-driven decisions on optimizing our knowledge graph data models globally- Expand and refine the expansion of data retrieval techniques to utilize our extensive knowledge graph- Contribute to team goal setting and future state vision- Drive and coordinate cross-functional projects with a broad range of merchandisers, engineers, designers, and other groups that may include architecting new data solutions- Develop team operational excellence programs, data quality initiatives and process simplifications- Evangelize ontology and semantic technologies within and across teams at Amazon- Mentor and influence peers

Copyright 2025 Kurt Cagle/The Cagle Report In my last post, I talked about ontologies as language toolkits, but I'm going to take a somewhat different tack with this piece: exploring the relationship between and ontology and a knowledge graph. Ontologies = Schemas + Taxonomies Let me repeat my opera

We contributed recently to the "awesome semantic shapes" repository. This is a community-curated list of RDF shape resources, be it validators, generators…

🚀 Excited to Share Our Recent Work! 🌟 GraphAgent — An innovative AI agent that efficiently integrates structured and unstructured data! 📚 👉 Paper link:…

With the enthusiasm for generative artificial intelligence (gen-AI) knowledge graphs are generating new interest. ‘Knowledge graph’ is a…

Semantic Partners put in action their SFIA RDF conversion: semantic use cases with SFIA, RDF graphs, vector search and LLMs

Lettria, an AWS Partner, demonstrated that integrating graph-based structures into RAG workflows improves answer precision by up to 35% compared to vector-only retrieval methods. In this post, we explore why GraphRAG is more comprehensive and explainable than vector RAG alone, and how you can use this approach using AWS services and Lettria.

Property graphs have reached a high level of maturity, witnessed by multiple robust graph database systems as well as the ongoing ISO standardization effort aiming at creating a new standard Graph Query Language (GQL). Yet, despite documented demand, ...

How can we reduce the ambiguity between knowledge graph and ontology? The confusion arises because knowledge graphs are often Labeled Property Graphs:… | 103 comments on LinkedIn

Knowledge Graph community is divided into RDF adopters and Property Graph folks. It is the ultimate question for everybody who starts a…

Examples to help you understand the GraphRAG mechanism

Authors: Makbule Gulcin Ozsoy, Leila Messallem, Jon Besga

In the last few weeks, I’ve been diving into the world of #AgenticAI, and I found quite a mess with definitions, which creates a lot of misunderstanding… | 13 comments on LinkedIn

We're excited to publicly release the Diffbot GraphRAG LLM! With larger and larger frontier LLMs, we realized that they would eventually hit a limit in terms… | 48 comments on LinkedIn

𝐌𝐲 𝐛𝐨𝐥𝐝 𝐚𝐧𝐝 𝐨𝐧𝐥𝐲 𝐩𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐨𝐧 𝐟𝐨𝐫 𝟐𝟎𝟐𝟓: By December, everyone, their chatbot, and their agents will finally agree that ontologies… | 80 comments on LinkedIn

Ontologies Prevent Hallucinations in LLM-based Applications

What if creating Linked Open Data was less like coding and more like writing? Could anyone extend the Semantic Web by sharing a document? Publish a knowledge… | 13 comments on LinkedIn

Using knowledge graphs and AI to retrieve, filter, and summarize medical journal articles

Here are My Predictions for Knowledge Graphs in 2025! 🔵 GraphRAG via Ontologies: A range of GraphRAG frameworks and products will emerge, offering…

OpenSPG (Semantic-Enhanced Programmable Graph) is a new generation of enterprise knowledge graph (EKG) engine, bidirectionally enhanced by LLMs and knowledge…

Want to catch up on Graph Neural Networks? Now's the time! Graph Neural Networks (GNNs) have become a popular solution for problems that include network data,…

Great presentation by Ora Lassila on "Semantic Web and AI: Can we finally realize the vision?"

Learn all about the brand-new Knowledge Graph Conference Resource Hub (built by metaphacts) and explore past KGC talks, presentations, and workshops.

Join us for the first GraphGeeks Talk of 2025!! 🌐 "Exploring News at Scale with On-the-Fly Graphs" 🗓️ January 15th at 9:00 AM PT | 17:00 London Join…

❓How Can Graph Neural Networks Enhance Recommendation Systems by Incorporating Contextual Information? Traditional recommendation systems often leverage a…

🎅 Santa Came Early with RDF Sketch🎅 This holiday season, we’re excited to share a special gift from Zazuko to the community: RDF Sketch, a… | 11 comments on LinkedIn