@samwalrus@SierraMoxon@linkml_data@bioontologies The video of Sierra Moxon's ISCBacademy webinar (LinkML: an open data modeling framework, grounded with ontologies) is now up at https://t.co/snUfyDeMNx and the slides are at https://t.co/5faknw4dK2
The next LinkML Community meeting is tomorrow, Thursday, Sept 14 (the second Thursday of the month, rather than the usual third Thursday) at 8am PT / 11am ET / 15:00 UTC.
Agenda: https://t.co/o3E5HpimMi
Host: Chris Mungall
Topic: Overview of the milestones and onboarding process
If you’re curious about how LinkML can help you create better, FAIRer, more reusable data models using ontologies, please check out our new article in the OBOOK: https://t.co/rPF54qb0o5
LinkML https://t.co/edrrTBtNUx is a great eco-system. Did some experimenting with multiple data model paradigms and dito data serialisations with the same semantics. LinkML is built with itself! @oeg_upm@semanticbeeng@mijaspao@kvistgaard@linkml_data What do you think?
@sspaeti A #SemanticLayer needs a data schema language that can
1. subsume existing schema languages: json, avro, etc
2. abstract over data formats (delay conversions)
3. use a generative approach towards existing schema dialects, #GPL-s & frameworks
https://t.co/9E8HthBM9U
#SmartData
@linkedktk@semanticarts@AndrewYNg "Data is self-describing and does not rely on an application for interpretation and meaning."
With @linkml_data we can have data stay in efficient data formats and "eat the semantic cake too" (on demand; keen conversion to RDF makes silos)
https://t.co/H18VrAmt0m
#SmartData
We added a howto guide to the @linkml_data docs on generating AI prompts from LinkML schemas. https://t.co/ahS35Db6oI, making use of the new feature in the @OpenAI API to structure results as JSON https://t.co/MQ9Obxandz 🧵
The next #LinkML community meeting is on June 15 at 11am ET. James Overton will present Nanobot (web UI) + VALVE (table/database/validation layer). Agenda: https://t.co/o3E5HpimMi
The OntoGPT framework and SPIRES tool by @chrismungall 's team provide a principled approach to extract knowledge graph from unstructured text using GPT. Here is my impression. https://t.co/t6AlXnp3HR
LinkML community meeting on May 18 at 11am ET! Please join us to hear about schema-driven data collection tools like CEDAR (John Graybeal, @jgmetadata) & DataHarmonizer (Damion Dooley, @synapticlove). Agenda: https://t.co/o3E5HpimMi
#LinkML#TeamScience#Collaboration#DataModel
Have a LinkML feature request? Interested in tutorials? Eager to share your LinkML model or use case with the community? Join our next monthly community meeting on April 20 at 11am ET. Subscribe to https://t.co/ozMz7VN7rp for meeting info! #LinkML#TeamScience#DataModel