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Nakala : from an RDF dataset to a query UI in minutes - SHACL automated generation and Sparnatural - Sparna Blog
Nakala : from an RDF dataset to a query UI in minutes - SHACL automated generation and Sparnatural - Sparna Blog
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…
·blog.sparna.fr·
Nakala : from an RDF dataset to a query UI in minutes - SHACL automated generation and Sparnatural - Sparna Blog
Purpose-Driven Taxonomy Design | LinkedIn
Purpose-Driven Taxonomy Design | LinkedIn
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
Purpose-Driven Taxonomy Design
·linkedin.com·
Purpose-Driven Taxonomy Design | LinkedIn
Ontology is not only about data
Ontology is not only about data
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
Ontology is not only about data
·linkedin.com·
Ontology is not only about data
Enterprise Ontology: A Human-Centric Approach to Understanding the Essence of Organisation : Dietz, Jan L. G., Mulder, Hans B. F.: Amazon.nl: Boeken
Enterprise Ontology: A Human-Centric Approach to Understanding the Essence of Organisation : Dietz, Jan L. G., Mulder, Hans B. F.: Amazon.nl: Boeken
Enterprise Ontology: A Human-Centric Approach to Understanding the Essence of Organisation : Dietz, Jan L. G., Mulder, Hans B. F.: Amazon.nl: Boeken
Enterprise Ontology
·amazon.nl·
Enterprise Ontology: A Human-Centric Approach to Understanding the Essence of Organisation : Dietz, Jan L. G., Mulder, Hans B. F.: Amazon.nl: Boeken
GitHub - apache/incubator-hugegraph: A graph database that supports more than 100+ billion data, high performance and scalability (Include OLTP Engine & REST-API & Backends)
GitHub - apache/incubator-hugegraph: A graph database that supports more than 100+ billion data, high performance and scalability (Include OLTP Engine & REST-API & Backends)
A graph database that supports more than 100+ billion data, high performance and scalability (Include OLTP Engine & REST-API & Backends) - apache/incubator-hugegraph
·github.com·
GitHub - apache/incubator-hugegraph: A graph database that supports more than 100+ billion data, high performance and scalability (Include OLTP Engine & REST-API & Backends)
The Semantic Web
The Semantic Web
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
·linkedin.com·
The Semantic Web
A comparison between ChatGPT and DeepSeek capabilities writing a valid Cypher query
A comparison between ChatGPT and DeepSeek capabilities writing a valid Cypher query
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…
a comparison between ChatGPT and DeepSeek chat capabilities by providing them with a schema and a natural language question. I tasked them with writing a valid Cypher query to answer the question.
·linkedin.com·
A comparison between ChatGPT and DeepSeek capabilities writing a valid Cypher query
G.V() 3.14.38 Release Notes: Now with Support for Neo4j, Memgraph, Neptune Analytics, Query Editor Improvements, and more!
G.V() 3.14.38 Release Notes: Now with Support for Neo4j, Memgraph, Neptune Analytics, Query Editor Improvements, and more!
G.V() 3.14.38 Release Notes: Now with Support for Neo4j, Memgraph, Neptune Analytics, Query Editor Improvements, and more! For the first time ever, G.V() can be used on non Apache TinkerPop graph databases. It is now compatible with Neo4j, Neo4j AuraDB, Memgraph and Amazon Neptune Analytics using the Cypher querying language.
·gdotv.com·
G.V() 3.14.38 Release Notes: Now with Support for Neo4j, Memgraph, Neptune Analytics, Query Editor Improvements, and more!
Knowledge graphs are shaping the future of data and AI, and I’m excited to see them featured in the Data Gang’s predictions for 2025!
Knowledge graphs are shaping the future of data and AI, and I’m excited to see them featured in the Data Gang’s predictions for 2025!
🚀 Knowledge graphs are shaping the future of data and AI, and I’m excited to see them featured in the Data Gang’s predictions for 2025! 🚀 Every year I enjoy… | 10 comments on LinkedIn
Knowledge graphs are shaping the future of data and AI, and I’m excited to see them featured in the Data Gang’s predictions for 2025!
·linkedin.com·
Knowledge graphs are shaping the future of data and AI, and I’m excited to see them featured in the Data Gang’s predictions for 2025!
A zero-hallucination AI chatbot that answered over 10000 questions of students at the University of Chicago using GraphRAG
A zero-hallucination AI chatbot that answered over 10000 questions of students at the University of Chicago using GraphRAG
UChicago Genie is now open source! How we built a zero-hallucination AI chatbot that answered over 10000 questions of students at the University of… | 25 comments on LinkedIn
a zero-hallucination AI chatbot that answered over 10000 questions of students at the University of Chicago
·linkedin.com·
A zero-hallucination AI chatbot that answered over 10000 questions of students at the University of Chicago using GraphRAG