Relation Graph, Python Port
This is a minimal implementation of relation-graph in Python
The goal is to reason over a minimal subset
- subClassOf
- someValuesFrom
- transitive properties
- property chains
To run:
run_relation_graph("tests/input/test.csv", "tests/output/results.csv")
- input must be csv
- headers must be subject, predicate, object
- domain entities can be any syntax, rdf/owl terms must be CURIEs
- rows are either:
- relation graph direct edges
- triples of the form
PRED,rdf:type,owl:TransitiveProperty
See tests/input for details
TODO
- reflexive edges
- relax equivalence to paired subClassOf
- compare with scala relation-graph
- property chains
1 maintainer
Release files for relation-graph 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| relation_graph-0.1.1.tar.gz | 11.2 MB | Details |
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| relation_graph-0.1.1-cp39-cp39-macosx_10_7_x86_64.whl | CPython 3.9 | CPython 3.9 | macOS 10.7+ x86-64 | Details |
| relation_graph-0.1.1-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl | CPython 3.7 | CPython 3.7 pymalloc | Linux glibc 2.5+ x86-64 | Details |
Total release size: 12.5 MB
Release files / relation_graph-0.1.1.tar.gz
| Download URL | relation_graph-0.1.1.tar.gz |
|---|---|
| Size | 11.2 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
2695be0249813628b92cc293475e4e694e46f34135a60400995ce089dffa9779
|
|
BLAKE2b-256 checksum How to use checksums |
170eb8b8f55989181a85340e6a084bb499d0023d3d38d16cdcf863949de9d6b7
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.9.5
|
Release files / relation_graph-0.1.1-cp39-cp39-macosx_10_7_x86_64.whl
| Download URL | relation_graph-0.1.1-cp39-cp39-macosx_10_7_x86_64.whl |
|---|---|
| Size | 263.2 kB |
| Tags | CPython 3.9 macOS 10.7+ x86-64 |
|
SHA-256 checksum How to use checksums |
e464ab5facc4b566dd851763e3790000b2f64b7766ccacbdaf0066d23c90e60b
|
|
BLAKE2b-256 checksum How to use checksums |
668f21ae5e06736e5e25a32a9f83be48e827ffb6e42ba5fb4d61b4c51e82b2ca
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.9.5
|
Release files / relation_graph-0.1.1-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl
| Download URL | relation_graph-0.1.1-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl |
|---|---|
| Size | 1.0 MB |
| Tags | CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.5+ x86-64 |
|
SHA-256 checksum How to use checksums |
f9e99269ea064c0000910875c80baa7400c279c9142797660047cac7e12f6404
|
|
BLAKE2b-256 checksum How to use checksums |
887a67bccb2b73ab72abdd87527eb907cf39861aea9db8737f478615a9f22c69
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.9.5
|
