Daniel H. Mills

Consultant @Openlink

[Daniel H. Mills @dan_hmills]

10/ The scoreline was only part of the story.

Explore the complete match infographic, powered by the FIFA Knowledge Graph on @OpenLink Virtuoso:

🔗 https://t.co/QqdNuVzhoa

#FIFAWorldCup #VirtuosoRDBMS

[Daniel H. Mills @dan_hmills]

🇲🇽 Mexico 2–0 South Africa 🇿🇦

The hosts opened their #FIFAWorldCup 2026 campaign with a controlled victory in Mexico City.

⚽ Quiñones (9’)
⚽ Jiménez (67’ pen)
But the scoreline only tells part of the story.

Thread 🧵👇

[Daniel H. Mills @dan_hmills]

9/ Beyond the scoreline.

This match report is generated from a FIFA Knowledge Graph hosted on @OpenLink Virtuoso.

Every insight is queryable, connected, and reusable.

#VirtuosoRDBMS #KnowledgeGraph #FIFAWorldCup

[Daniel H. Mills @dan_hmills]

6/ Mexico’s tactical profile was impressive.

🔺 High Press: 8 phases
🔺 Counter Press: 8 phases
🔺 Final Third Entries: 10 vs 7
🔺 Faster ball recovery: 17s vs 22s
A disciplined pressing structure kept South Africa pinned back.

[Daniel H. Mills @dan_hmills]

5/ The turning point?

South Africa’s first dismissal arrived in the 49th minute.

Playing a man down against a team already controlling possession made an uphill task even steeper.

The second dismissal at 84’ effectively ended any hope of a comeback.

[Kingsley Uyi Idehen @kidehen]

Some additional links showcasing different AI agents, AI agent skills, and large language models (LLMs).

Claude Code AI Agent, DeepSeek-v4 LLM, and the same AI agent skills:

1. HTML-based Infographic (notes summary) -- https://t.co/QdzUufBhJM

2. Knowledge Graph Overview via Faceted Search & Browse Page -- https://t.co/Y3WzvmgNUI

[Kingsley Uyi Idehen @kidehen]

Showcasing the combined power of the following for note-taking and the progressive creation and management of knowledge bases:

1. Hyperlinks as powerful super keys for data, information, and knowledge access by reference

2. RDF for entity descriptions in machine-computable form, using subject–>predicate–>object structured data representation

3. HTML for hypermedia document creation

4. A universal filesystem interface for CRUD (Create, Read, Update, Delete) operations

How?

This knowledge base update workflow requires just a few simple steps:

1. Prompt any AI agent (Claude Code, Codex, and similar tools) as follows: Generate an RDF knowledge graph and HTML breakdown document from {document-url}

2. Drag and drop the generated RDF and HTML documents into an HTTP-accessible folder mounted on your local device (desktop, notebook, or phone)

3. Open the HTML document and follow your nose into the underlying knowledge graph

4. Rinse and repeat whenever you encounter content containing knowledge you want to reuse and recall—simply by querying your AI agent of choice

Why should you care?

Because this shifts knowledge work from passive consumption to active, reusable structure.

Instead of re-reading and re-searching, you progressively build a personal (or organizational) knowledge layer that is:

* Queryable via AI agents

* Reusable across contexts and time

* Deterministic in retrieval when combined with structured representations

* Incrementally improving with every document you process

* Independently owned rather than locked inside proprietary silos

In short, it turns everyday reading into compounding intellectual infrastructure.

What makes this “deceptively simple” workflow possible?

Our Virtuoso platform, which provides modern data space management (databases, knowledge bases, filesystems, and APIs) that blends naturally with the new age of AI agents and agent skills.

See comments section for links to documents generated in the demo.

[Daniel H. Mills @dan_hmills]

RT @kidehen: The Web expanded access to the Internet by providing an ultra-flexible interface via hyperlinks rendered through HTML document…

[Kingsley Uyi Idehen @kidehen]

What does it mean?

Edge AI and Open Source are the future for LLMs. AI Agents powered by LLMs are the next competitive frontier, but even there Open Source will win.

Long story short re business and monetization matters: it’s AI Agent Skills and constrained access to data spaces (databases, knowledge bases, filesystems, and APIs) all the way down ..