Align KGCL and taxonomy with prior work
- Dominant language
- Python
- Stars
- 23
- Forks
- 5
- PR merge metrics
- No merged PRs in 30d
Description
We do not do a great job of showing how the KGCL data model aligns with prior work
There is a really excellent summary here:
Romana Pernisch, Daniele Dell’Aglio, Abraham Bernstein,
Beware of the hierarchy — An analysis of ontology evolution and the materialisation impact for biomedical ontologies,
Journal of Web Semantics,
Volume 70,
2021,
100658,
ISSN 1570-8268,
https://doi.org/10.1016/j.websem.2021.100658.
This summarizes earlier work by Noy et al e.g https://www.researchgate.net/profile/Michel-Klein/publication/2930642_A_Component-Based_Framework_for_Ontology_Evolution/links/0912f50ba15cd1a7e5000000/A-Component-Based-Framework-for-Ontology-Evolution.pdf as well as COntoDiff
One of the major contributions of Pernisch et al is looking at impact of entailed axioms - currently our focus is on structural diffs but we should include this
There is also a lot of great stuff in this paper with metrics for ontology contributions and usages, cc @matentzn
Contributor guide
Research direction
Start with the KGCL data model and the linked Pernisch et al. paper, then review the cited Noy et al. and COntoDiff work. Define what alignment with prior work and entailed-axiom impact should cover; done means the resulting model or documentation clearly incorporates these findings.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100