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a RAG agent that connects directly to Wikidata for facts about medalists in the 2024 Olympic Games
a RAG agent that connects directly to Wikidata for facts about medalists in the 2024 Olympic Games
Hey Knowledge Graph friends! As I imagine some of you are, I've been a bit annoyed that many "Knowledge Graph and AI" demos and tools—while definitely… | 13 comments on LinkedIn
a RAG agent that connects directly to Wikidata for facts about medalists in the 2024 Olympic Games
·linkedin.com·
a RAG agent that connects directly to Wikidata for facts about medalists in the 2024 Olympic Games
How do you maintain an ontology over time?
How do you maintain an ontology over time?
How do you maintain an ontology over time? Today, I had a wonderful meeting with Kurt Cagle about ontologies, AI, and beyond. We spent some time on this… | 27 comments on LinkedIn
How do you maintain an ontology over time?
·linkedin.com·
How do you maintain an ontology over time?
iText2KG
iText2KG
#Alhamdulillah, Our iText2KG has achieved over 300 stars and 27 forks in just 10 days after its release, and it is currently ranked among the top 12 trending…
iText2KG
·linkedin.com·
iText2KG
Unlocking the Power of Generative AI: Why OWL Leads in Knowledge Representation and Semantic Layers
Unlocking the Power of Generative AI: Why OWL Leads in Knowledge Representation and Semantic Layers
Web Ontology Language (OWL) emerges as a superior choice for knowledge representation in generative AI, offering unparalleled expressiveness, reasoning capabilities, and semantic richness. By leveraging OWL-based knowledge graphs, AI systems can generate more accurate, context-aware, and nuanced outputs across diverse ...
·data.world·
Unlocking the Power of Generative AI: Why OWL Leads in Knowledge Representation and Semantic Layers
Taxonomies: Foundational to knowledge management
Taxonomies: Foundational to knowledge management
As the volume of digital content increases, the ability to manage it becomes more important. Taxonomy and metadata are vital to finding products, conducting scientific research, and keeping track of organizational information. They also enable a wide variety of analytics on unstructured data. We can see the results of a well-designed taxonomy, but behind the scenes, there's a lot more going on than meets the eye.
·kmworld.com·
Taxonomies: Foundational to knowledge management
Scaling Knowledge Graphs for Industry
Scaling Knowledge Graphs for Industry
My presentation at the "First International Workshop on Scaling Knowledge Graphs for Industry" at the SEMANTICS 2024 Conference in Amsterdam was focused on the…
Scaling Knowledge Graphs for Industry
·linkedin.com·
Scaling Knowledge Graphs for Industry
AnyGraph: Graph Foundation Model in the Wild
AnyGraph: Graph Foundation Model in the Wild
The growing ubiquity of relational data structured as graphs has underscored the need for graph learning models with exceptional generalization capabilities. However, current approaches often...
·arxiv.org·
AnyGraph: Graph Foundation Model in the Wild
Operationalizing the information architecture
Operationalizing the information architecture
✨ Operationalizing the information architecture 👇 There are three main ways to operationalize the information architecture, depending on how the data plane… | 14 comments on LinkedIn
Operationalizing the information architecture
·linkedin.com·
Operationalizing the information architecture
a news-spelunking time-machine
a news-spelunking time-machine
Have you ever entered a news-spelunking time-machine 🧗? Well AskNews built one...and our users are already jumping into the time-machine to explore the…
a news-spelunking time-machine
·linkedin.com·
a news-spelunking time-machine
An example of the application of LegalKit is the production of knowledge graphs, here is a Hugging Face demo
An example of the application of LegalKit is the production of knowledge graphs, here is a Hugging Face demo
An example of the application of #LegalKit is the production of knowledge #graphs, here is a Hugging Face demo #Space 🤗 With the update of the French legal…
An example of the application of hashtag#LegalKit is the production of knowledge hashtag#graphs, here is a Hugging Face demo
·linkedin.com·
An example of the application of LegalKit is the production of knowledge graphs, here is a Hugging Face demo
Where do you start when you want to build an ontology?
Where do you start when you want to build an ontology?
Where do you start when you want to build an ontology? Building an ontology sounds like a big, complex task, right? With all those high-level frameworks like… | 28 comments on LinkedIn
Where do you start when you want to build an ontology?
·linkedin.com·
Where do you start when you want to build an ontology?