soheilabadifard /

TTL_to_3D

Turn any Turtle / RDF graph into a self-contained, offline HTML viewer with 3D and 2D views

A new way for AI to search for data
View on GitHub
2GitHub stars

Python

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit b7adf446ed (2026-10-15).

Selected work

Soheil Abadifard
@soheilabadifard

“reified statements put edge properties on their links, and slic…”. 4 files, 213 lines in tests, ttl3d.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-22. Same terms as the repository. Answers name the repo, the commit and the file:line.

in licence reviewnot in the hub yetsuggested use: adapt with attribution

3dcligraph-visualizationknowledge-graphlinked-dataontologyowlpython

Example questions

The prompt

Paste it into your AI agent. It clones soheilabadifard/TTL_to_3D at the pinned commit and indexes it on your machine.

Search the GitHub repository soheilabadifard/TTL_to_3D with XERJ (https://hub.xerj.org/corpus/soheilabadifard--ttl-to-3d).
Run these in a shell, in order, and check each result before the next:
1. xerj --help  (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh
2. git clone https://github.com/soheilabadifard/TTL_to_3D TTL_to_3D && git -C TTL_to_3D checkout b7adf446ed082b4f4b89171c4959f301ffccabbd
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./TTL_to_3D --url http://127.0.0.1:9200 --prefix ttl-to-3d --progress plain
5. xerj autoindex map --url http://127.0.0.1:9200
Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt
Licence: MIT. Keep the copyright notice and credit the authors.

Related

Soheil AbadifardWeb and frontend platform corporafoodoncell-ontologyhaystackAndreyKilanov/logfoldbk1202/proofclielliottower/reproducible-science

Selected work and consent: the XERJ registry.