Annotate axioms in output ontology with prior probabilities
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- Dominant language
- Scala
- Stars
- 37
- Forks
- 2
- PR merge metrics
- No merged PRs in 30d
Description
E.g. if the txt output is
```
A:1 ProperSubClassOf B:1 (most probable) 0.7
A:2 ProperSuperClassOf B:2 (most probable) 0.7
A:3 EquivalentTo B:3 (most probable) 0.7
A:4 SiblingOf B:4 (most probable) 0.7
```
then add annotations to axioms 1-3. TBD: predicate for probability? biollink?
Also:
currently no axiom is emitted for 4. Can we emit an annotation assertion? It is useful to be explicit about what was not inferred
Also:
Annotations on ontology:
- ontology ID. Get from user?
- metadata about the input ontologies, parameters, steps. Consider using a full PROV model. But even just some rdfs:comments would be awesome
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First steps
- Read the whole issue, then the project's contributing guide.
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- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by tracing the code that produces the text output and emits ontology axioms; no specific file or test is named in the issue. Clarify the probability predicate and how to represent axioms that were not inferred, then determine how ontology IDs and input, parameter, and step metadata should be recorded. Done means the output carries the agreed annotations and metadata consistently.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- scala
- Domain
- data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100