A semantic knowledge graph that extracts concepts from documents, tracks how well-supported they are, and remembers where sources disagree. κ(G) — vertex connectivity of a graph. The minimum number of ...

There is a quiet failure mode that lives at the center of every AI-assisted coding workflow. You ask Claude Code, Cursor, or Windsurf to modify a function. The agent does it confidently, cleanly, and ...

A single Model Context Protocol (MCP) server that exposes 30+ Proto-OKN knowledge graphs through one unified interface. The server enables AI assistants (Claude, ChatGPT, GitHub Copilot, etc.) to ...

Abstract: Arabic’s complex morphology and English-defined database schemas make Arabic Text-to-SQL particularly challenging, since question tokens and schema labels rarely align lexically. This paper ...

What if you could transform overwhelming, disconnected datasets into a living, breathing map of relationships, one that not only organizes your data but also reveals insights you didn’t even know you ...

Abstract: Knowledge graphs can systematically and structurally represent the knowledge points, concepts, and their relationships within a course, facilitating the understanding of complex knowledge ...

Got Tech, Data, AI and Media, and not afraid to use them. Are graphs really the new star schema? What do graphs look like to non-insiders, and what is it that attracts them to the graph community, ...

The broad skills that LLMs possess when carrying out tasks do not extend to niche domains where precise precision and flexible reasoning are a must. The paper establishes the importance of a ...