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.
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
What’s going on here?
Prompts are being processed through queries executed against a Knowledge Graph (KG)—all thanks to loose coupling. The target KG could reside locally, live on the Web, or be part of the vast Linked Open Data (LOD) cloud.
Architecture? As depicted in the attached image.
BTW -- @Google Gemini can generate pretty accurate diagrams using @drawio XML!
A simple GUI-based screencast demo of the @openlink AI Layer (OPAL), showing what’s now possible via MCP + A2A—namely, composing and orchestrating agentic workflows through loosely coupled software.
How?
An Agent Host routes tasks to Agents via A2A. Agents then invoke MCP-accessible tools (functions, procedures, APIs) described using JSON/YAML and exposed via OpenAPI.
Just another example of the Semantic Web vision in action—modernized for the AI era. 😀
🚀 Virtuoso Open Source 7.2.15 is out!
A high-performance, multi-model DBMS supporting SQL, SPARQL & GraphQL. Also a Web App Server (HTTP, WebDAV, OpenAPI) & MCP-accessible via ODBC, JDBC, pyODBC & DotNet.
🔗 https://community.openlinksw.com/t/virtuoso-open-source-7-2-15-release-notes/5006
Virtuoso Open Source 7.2.15 Release Notes We are pleased to announce immediate availability of a new Virtuoso Open Source Maintenance Release. Highlights of this update include: increased stability; fixes to the HTTP and SOAP server; fixes in the SPARQL query optimiser and RDF Views; build, compatibility and packaging improvements. Further bug-fixes and feature enhancements address the following functionality realms: Virtuoso DBMS Engine SPARQL Query Processor Database Administration Servic...
Here's a link to the Claude Desktop artifact.
https://claude.ai/public/artifacts/19f792bc-867a-4ef7-910a-4696bdeec7d4
Here's a link to the MCP server for JDBC repo.
An example of what’s now possible—thanks to our (@openlink) sophisticated MCP Server for JDBC, Oracle’s native JDBC Driver, and Anthropic's Claude Desktop as the MCP client:
A dashboard generated from Oracle’s HR database using the following natural language prompt:
Using JDBC with the following connection details:
URL: jdbc:oracle:thin:@oracle-host:1521:XE
Credentials: UID=hr, PWD=openlink
Write a query to produce a dashboard summarizing job history by employee.
Introducing the OpenLink AI Layer (OPAL) MCP Server
1/ This MCP Server is a game-changer for loosely coupling AI Agents & Data Spaces (databases, knowledge graphs, filesystems) coupling.
We've just published a community post showcasing the power of the OpenLink AI Layer (OPAL) in action. It includes Cello, an AI Agent prototype built using the EU's Virtuoso-based SPARQL endpoint.
In a world increasingly shaped by AI, data is the critical fuel that powers everything — making seamless connectivity across silos more essential than ever. The OpenLink AI Layer (OPAL) represents a fundamental leap in intelligent data integration—one that collapses the complexity of AI agent creation into a streamlined, standards-based, and production-ready approach. In this article, we showcase how OPAL enables the rapid creation and deployment of AI agents that emulate thinking in context a...
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