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Knowledge graph modeling: what we put in OWL, what we put in SHACL, and what our rule of thumb is to decide
Knowledge graph modeling: what we put in OWL, what we put in SHACL, and what our rule of thumb is to decide
A few weeks ago, Thomas Francart asked me what we put in OWL, what we put in SHACL, and what our rule of thumb is to decide. I wrote this post to answer these…
what we put in OWL, what we put in SHACL, and what our rule of thumb is to decide
·linkedin.com·
Knowledge graph modeling: what we put in OWL, what we put in SHACL, and what our rule of thumb is to decide
Exploring OWL Ontologies Visually: A Paradigm Shift in Understanding 🌐 | LinkedIn
Exploring OWL Ontologies Visually: A Paradigm Shift in Understanding 🌐 | LinkedIn
Author: Nicolas Figay Status: DraftAuthor: Nicolas Figay Status: Draft Last update: 2025-01-14 This article was initiated due to the success of the following post A post being not enough for addressing the topic, here is the article developing the subject deeper. Introduction When diving into the wo
·linkedin.com·
Exploring OWL Ontologies Visually: A Paradigm Shift in Understanding 🌐 | LinkedIn
Graph contrastive learning
Graph contrastive learning
Graph contrastive learning (GCL) is a self-supervised learning technique for graphs that focuses on learning representations by contrasting different views of…
Graph contrastive learning
·linkedin.com·
Graph contrastive learning
SEMIC Style Guide for Semantic Engineers
SEMIC Style Guide for Semantic Engineers
The SEMIC Style Guide for Semantic Engineers provides guidelines for developing and reusing semantic data specifications, particularly eGovernment Core…
SEMIC Style Guide for Semantic Engineers
·linkedin.com·
SEMIC Style Guide for Semantic Engineers
key components of an ontology
key components of an ontology
What are the key components of an ontology? Ontologies can seem a bit abstract at first, but when you break them down into their core components, they become… | 21 comments on LinkedIn
key components of an ontology
·linkedin.com·
key components of an ontology
𝗩𝗶𝘀𝘂𝗮𝗹 𝗤𝘂𝗲𝗿𝘆 𝗕𝘂𝗶𝗹𝗱𝗲𝗿 prototype from Neo4j Labs
𝗩𝗶𝘀𝘂𝗮𝗹 𝗤𝘂𝗲𝗿𝘆 𝗕𝘂𝗶𝗹𝗱𝗲𝗿 prototype from Neo4j Labs
Stop struggling with Cypher syntax Turn graph queries into drag-and-drop Moving from SQL to Cypher presents a common challenge. You understand how data… | 54 comments on LinkedIn
𝗩𝗶𝘀𝘂𝗮𝗹 𝗤𝘂𝗲𝗿𝘆 𝗕𝘂𝗶𝗹𝗱𝗲𝗿 prototype from Neo4j Labs
·linkedin.com·
𝗩𝗶𝘀𝘂𝗮𝗹 𝗤𝘂𝗲𝗿𝘆 𝗕𝘂𝗶𝗹𝗱𝗲𝗿 prototype from Neo4j Labs
How is an ontology different from a schema?
How is an ontology different from a schema?
How is an ontology different from a schema? At first glance, ontologies and schemas might seem similar, they both organize and define data. But the… | 54 comments on LinkedIn
How is an ontology different from a schema?
·linkedin.com·
How is an ontology different from a schema?
On the Evolution of Knowledge Graphs
On the Evolution of Knowledge Graphs
Did you know that Knowledge Graphs are the silent backbone powering AI agents like chatbots and search engines? The path to this innovation wasn’t… | 36 comments on LinkedIn
·linkedin.com·
On the Evolution of Knowledge Graphs
After 50 Years, What's Next for SQL?
After 50 Years, What's Next for SQL?
Even after 50 years, Structured Query Language, or SQL, remains the native tongue for those who speak data. It's had impressive staying power since it was first coined the Structured Query English Language in the mid-1970s. It's survived and thrived through the dot-com era and the proliferation of cloud technology. In essence, SQL is a technology that evolves.
·dbta.com·
After 50 Years, What's Next for SQL?
LightRAG
LightRAG
🚀 Breaking Boundaries in Graph + Retrieval-Augmented Generation (RAG)! 🌐🤖 The rapid pace of innovation in combining graphs with RAG is absolutely…
LightRAG
·linkedin.com·
LightRAG
Senior Ontologist, Artificial General Intelligence (AGI) Info, Web & Knowledge Services
Senior Ontologist, Artificial General Intelligence (AGI) Info, Web & Knowledge Services
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
·amazon.jobs·
Senior Ontologist, Artificial General Intelligence (AGI) Info, Web & Knowledge Services
Ontologies and Knowledge Graphs | LinkedIn
Ontologies and Knowledge Graphs | LinkedIn
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
·linkedin.com·
Ontologies and Knowledge Graphs | LinkedIn