databrickslabs / databrickslabs/ontos
[Feature]: Semantic assignment to link concept to securable
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 212
- Forks
- 71
- Avg merge
- 4d 10h
- Merged PRs (30d)
- 43
Description
Title
Semantic assignment to link concept to securable
Role/User Type
Data Producer, Data Steward, Data Modeller
Circumstance
The user has defined a data product or has some kind of securable object in Unity Catalog. They have also defined a particular business concept (Class or Property).
Goals
Express that a securable object contains instances of a particular concept in a structured way.
User Journey Steps
- Browse to the relevant securable object
- Select "Semantic assignment"
- Select the relevant concept - this could be from a searchable list or organised into a hierarchical tree view.
Alternatively, the same process applies but starting from the concept.
Broken Steps or Gaps
No response
Success Metrics
No response
Proposed Solution or Improvement
No response
Related Product / Feature Areas
No response
Additional Context or Reference
No response
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
The issue names no files, tests, or entry points. Start by tracing how concepts and Unity Catalog securable objects are currently represented, then define the assignment flow from either side and identify tests for selecting and persisting a concept link.
Written by the indexing model from the issue text.
Assessment
- Domain
- databases
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100