RE: https://mastodon.social/@kidehen/116302922748631627
The links in that important announcement have been fixed i.e., they no longer return 403's.
Thanks for the heads-up!
Founder & CEO, OpenLink Software (#VirtuosoRDBMS, #YouI, #OSDS, creator)
#SSI: ni:///sha-256;xxdJ16bthZ724u0_xHvcNt0_Wu4ABxb56nPT50hNz-Q (denotes a SHA256 hash of a Public Key from a locally stored X.509 Cert)
#Nostr: d9c8c00017a2a345c2f32132436a26e1c72cb7a57e7b6b316f62dee2f8bcf8dd
Foci:
#OpenData, #LinkedData, #SemanticWeb, #KnowledgeGraph, #SPARQL, #HyperData, #DataConnectivity, #Web30, #DataSpaces, #Fediverse, #ActivityPub, #SocialMedia, #RSS, #RWW, #ODBC, #JDBC, #AI, #GenAI
Searchable.
RE: https://mastodon.social/@kidehen/116302922748631627
The links in that important announcement have been fixed i.e., they no longer return 403's.
Thanks for the heads-up!
Live SPARQL Query Page Links:
[1] https://tinyurl.com/Query-Definition
[2] https://tinyurl.com/Query-Solution-Page
#Wikidata #SPARQL #VirtuosoRDBMS #LODCloud #LinkedData #KnowledgeGraphs #SemanticWeb
This feature provides syntax-level compatibility with the SERVICE wikibase:label extension, enabling queries written for the Wikidata Query Service to run more seamlessly on Virtuoso.
In practical terms, developers can reuse existing SPARQL queries that rely on SERVICE wikibase:label—without needing to rewrite label-handling logic—while benefiting from Virtuoso’s performance, flexibility, and deployment options.
At a pivotal moment—when AI agents are rediscovering and reinforcing the enduring value of Linked Open Data (LOD) and the principles of Linked Data—we are taking another step forward for the community.
We will soon release a new open-source edition of Virtuoso that introduces a feature specifically designed to increase SPARQL compatibility with Wikidata.
Github Repo Link:
https://github.com/OpenLinkSoftware/ai-agent-skills/blob/main/rss-feed-generator/SKILL.md
Why Should Anyone Care?
This skill returns important power to both content publishers and consumers. It frees everyone from the dysfunction of algorithmic content discovery—you subscribe to the content you find interesting rather than leaving that choice to a third-party algorithm.
Here’s a Feed Generator Skill I knocked up that generates feeds for pages that lack this important content syndication and discovery feature.
How do you use it?
From any AI or AI agent environment that supports skills packaged using SKILLS.md docs.
Read on..
LLMs + the Model Context Protocol (MCP) are the Yang to the Semantic Web Project's Yin.
We now have a solution to the final hurdle—visualization.
Years of Linked Data work now come alive. I explain this, with demonstrations, in a new newsletter post.
www.linkedin.com/pulse/semant...
The Model Context Protocol (MCP) brings Unix-style loose coupling to AI Agents.
I built a visual explainer (JSON-LD metadata included) using Google Gemini’s new Canvas feature—with an embedded Knowledge Graph to illustrate.
Check it out:
https://openlinksw.com//data/html/unix-mindset-pipes-mcp.html