NeoOLAF is a next-generation ontology learning framework designed to automatically construct application-oriented ontologies from unstructured text by combining symbolic semantics, large language models, and agentic reasoning workflows.
active 2026-01-30 → 2026-08-01 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 184 days from 2026-01-30 to 2026-08-01. Pushes: 39 total, peak 8 in a day. Pull requests: 1 total, peak 1 in a day. Issues: 14 total, peak 5 in a day. Comments: 3 total, peak 1 in a day. Stars: 0 total, peak 0 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| Gabriel382 | 39 | 29 | 1 | 1 |
| soufianeelassri | 18 | 10 | 0 | 2 |
Recent activity
Latest issues, pull requests and releases
- Issue#39Gabriel3822026-05-17 18:21Runner Support for Full-Document Iterative Pipeline Execution
- Issue comment#39Gabriel3822026-05-17 18:21Runner Support for Full-Document Iterative Pipeline Execution
- Pull request#42Gabriel3822026-03-23 23:40
- Issue#37Gabriel3822026-03-19 22:17Agentic Semantic RAG Layer Infrastructure
- Issue#37Gabriel3822026-03-19 22:17Agentic Semantic RAG Layer Infrastructure
- Issue#36Gabriel3822026-03-19 22:17Real Source Ontology Integration
- Issue#35Gabriel3822026-03-19 22:16Serialization of Ontology and KG
- Issue#32Gabriel3822026-03-19 16:24Layer 9: General Axiom Extraction
- Issue#17Gabriel3822026-03-13 11:40Layer 3 - V1
- Issue comment#8soufianeelassri2026-03-09 23:17First XQuality Presentation V2
- Issue#5soufianeelassri2026-03-09 09:25Apply text-to-json python library on real XQuality Textual Data
- Issue#6soufianeelassri2026-03-09 09:25Compare OCR and Real Textual Data results
- Issue#5Gabriel3822026-03-04 11:03Apply text-to-json python library on real XQuality Textual Data
- Issue#2soufianeelassri2026-03-03 23:43[Study] Read & Summarize Ontology Learning article
- Issue#1soufianeelassri2026-03-03 23:40[Preprocessing][OCR] Survey multilingual OCR methods (FR/IT) + comparative report + runnable GitHub examples
- Issue#3soufianeelassri2026-02-18 11:50Data Quality Presentation [11-02-26]
- Issue#3soufianeelassri2026-02-18 11:50Data Quality Presentation [11-02-26]
- Issue comment#1soufianeelassri2026-02-11 12:16[Preprocessing][OCR] Survey multilingual OCR methods (FR/IT) + comparative report + runnable GitHub examples
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.