| Knowledge Graph Insights | https://knowledgegraphinsights.com/ |
| LarrySwanson.com | https://www.larryswanson.com/ |
| https://www.linkedin.com/in/larryswanson/ |
Yale University manages huge collections of precious #culturalHeritage artifacts housed in multiple museums, libraries, and other collections.
Using #knowledgeGraph and #ontology engineering design patterns that he has developed over his career, Robert Sanderson helps scholars, researchers, and the general public access information about — and make connections across — millions of unique items in Yale's collections
I enjoyed @sboots’s essay on becoming a “generative AI vegetarian”, and for a few reasons: it’s a great read, first and foremost, but also my GOODNESS is this well-sourced. Sean pulls together many, many threads here; always grateful for a map like this.
The promise of #agenticAI is being realized in systems like the Service Copilot that Zeiss microscopes provides for its field service engineers, integrating technical documentation, subject matter expertise, and user-generated insights, all orchestrated and shared with a suite of AI agents.
While it relies heavily on modern LLM technology, Max Gärber says it's the system's solid #knowledgeGraph and metadata foundation that make it a success.
The complementary nature of #knowledgeGraphs and #LLMs has become clear and long-time knowledge engineering professionals like Quentin Reul now routinely combine them in hybrid #neurosymbolicAI systems.
While it's tempting to get caught up in the details of rapidly advancing AI technology, Quentin emphasizes the importance of always staying focused on the business problems your systems solve.
An instructive conversation. Hope you enjoy it too.
25 years ago, Jim Hendler and his colleagues web inventor @timbl and @ora, an early expert on #AIagents, set out their #semanticWeb vision in an article for Scientific American magazine.
Semantic web implementations have since blossomed, deployed into every large enterprise on the planet and adding meaning to the web by appearing in the majority of pages on the internet.
A very edifying conversation. Hope you enjoy it, too.
"American terror didn't need a dictator. It needed law"
https://mastodon.seattlematrix.org/@mousey/115897480849291168
Attached: 1 video "#ICE does not move like the gestapo, they move like slave patrols." This is home grown terrorism.. Source: https://www.instagram.com/reel/DTb2VBJkUim/ I can't unsee this now. I can't unsee slaver behavior in #ICE tactics. It makes way more sense, the Gestapo were copying *them*. #America #Slavery #History #ICE #HistoricalContext
Brad Bolliger came to knowledge graphs via enterprise system design and data analytics. That background informs their pragmatic approach to the use of semantic technology in systems that facilitate information exchange across government agencies.
I really appreciate Brad's thoughtfulness and ability to connect systems architectures to #knowledgeGraphs and #controlledVocabulary management. Hope you enjoy the conversation, too.
At Bloomberg, Tara Raafat applies her extensive #ontology, #knowledgeGraph, and management expertise to create a semantic and technical foundation for their mission-critical data, information, and knowledge.
Tara of course employs the best semantic practices and embraces the latest technology, but her knack for engaging the right stakeholders and building the right kinds of teams is arguably what distinguishes her work.
I'm hosting a conversation about hybrid AI next week. Truly smart systems need it all - good #enterpriseData, neural learning and #LLMs, and symbolic #knowledgeGraphs - and these folks know how to deliver it.
https://www.digital-science.com/events/what-genai-does-well-and-where-it-needs-an-ecosystem/
At Netflix, @bertails and his team have adopted #RDF to capture the meaning in their content in a consistent way and generate consistent representations of it for a variety of internal customers.
The keys to their system are a Unified Data Architecture (UDA) and a #domainModeling language, Upper, that let them quickly and efficiently share complex #data projections in the formats that their internal engineering customers need.
Ethan Marcotte
Tane Piper ⁂