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#sparql

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🤩 An der Akademie der Wissenschaften und der Literatur in #Mainz wurde am #girlsday in Zusammenarbeit mit #NFDI4Culture an einer Webanwendung gearbeitet, die sich "In meiner Nähe/Around me" nennt.

👏 Es wurden Wikidata-Einträge zu Museen, Schulen und Parks zur #Georeferenzierung um einen Kartenmarker abgefragt. Dabei hatten die Mädchen Einblick in #wikidata #SPARQL -Queries, #html #CSS und #javascript Und vor allem viel Spaß! 😃

#NFDI4rocks

^gp (sp)

New blog post! I've started taking regular snapshots of Library of Congress linked open data (as part of a much broader data rescue and monitoring project) and took the opportunity to finally get to grips with #SPARQL, #RDF and all that comes along with it. I've started small though...

On fooling around with triples
erambler.co.uk/blog/on-fooling

erambler.co.ukOn fooling around with triplesa blog about research communication & higher education & open culture & technology & making & librarianship & stuff

This week’s edition of my @linkedin newsletter shines a light on the impact of the Model Context Protocol (MCP) across multiple computing eras—leading right up to today.

We’ve arrived at a moment where loose coupling principles are cool (and super useful) again.

Naturally, there are some live demo nuggets in the post to help bring it all to life:

🔗 linkedin.com/pulse/model-conte

#AI#GenAI#MCP

The Model Context Protocol acts as a universal translator between LLMs and data sources, eliminating complex platform-specific requirements. Our new open source MCP server for ODBC (mcp-odbc-server) enables seamless integration of any ODBC-accessible data into RAG pipelines.

Read more in my latest newsletter!

linkedin.com/pulse/whats-model

#MCP#ODBC#SPARQL

Looking for some #SPARQL help, as I'm a newbie to this and my mental model of how triple stores work is incomplete.

I have two versions of the same set of terms in two Turtle files, and I want to load them up into a triple store and then compare them to see what changed: terms updated, added or deleted.

At @swat4hcls there was a presentation by @albdrg that I really like: youtube.com/watch?v=F4Nl-nmLZA This uses #SPARQL to combine data in a privacy aware #beacons-api and combine it with public #knowledgegraph like #uniprot by @SIB and #wikidata @wikidata to reduce cost of the data integration challenge required to answer clinical question.