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.
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
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. 😀
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.
Here’s another dashboard variant built using Claude Desktop as the MCP client and the virtual Northwind Knowledge Graph, derived from underlying Northwind tables. This edition adds both a Company and Employee dimension:
https://claude.site/artifacts/7c4f5e75-d33a-4902-8a83-ed095de146a2
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:
🔗 https://www.linkedin.com/pulse/model-context-protocol-bridging-generational-computing-idehen-qdtce/
#AI #GenAI #MCP #KnowledgeGraph #LinkedData #SemanticWeb #SQL #SPARQL #DBMS #DataConnectivity
The Model Context Protocol (MCP) is emerging as a transformative force in computing, with its significance uniquely appreciated across generational lines. This new protocol serves as crucial middleware for LLM-powered productivity tools, addressing needs that previous computing paradigms couldn't fu
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!
https://www.linkedin.com/pulse/whats-model-context-protocol-why-important-kingsley-uyi-idehen-zy8ue
#MCP #ODBC #SPARQL #SQL #LinkedData #DBMS #DataConnectivity #AI #GenAI #Agentic
The way Large Language Models (LLMs) interact with the vast world of data sources and APIs (Application Programming Interface) is undergoing a significant transformation, thanks to the emergence of the Model Context Protocol (MCP). MCP servers act as a crucial middleware layer, a kind of "universal
