Ontolearn
Ontolearn is an open-source software library for structured machine learning in Python. Ontolearn includes modules for processing knowledge bases, representation learning, inductive logic programming and ontology engineering.
Current Installation
1) git clone https://github.com/dice-group/OntoPy.git
2) conda create -n temp python=3.6.2 # Or be sure that your have Python => 3.6.
3) conda activate temp
4) python ontolearn/setup.py install
# After you receive this Finished processing dependencies for OntoPy==0.0.1
5) python -c "import ontolearn"
Later Installation
pip install ontolearn
Usage
from ontolearn import KnowledgeBase, Refinement
kb = KnowledgeBase(path='data/family-benchmark_rich_background.owl')
rho = Refinement(kb)
for refs in enumerate(rho.refine(kb.thing)):
print(refs)
from ontolearn import KnowledgeBase,SampleConceptLearner
kb = KnowledgeBase(path='data/family-benchmark_rich_background.owl')
model = SampleConceptLearner(knowledge_base=kb,iter_bound=100,verbose=False)
p = {'http://www.benchmark.org/family#F10M173', 'http://www.benchmark.org/family#F10M183'}
n = {'http://www.benchmark.org/family#F1F5', 'http://www.benchmark.org/family#F1F7'}
model.predict(pos=p, neg=n)
model.show_best_predictions(top_n=10)
Release files for ontolearn 0.0.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| ontolearn-0.0.1.tar.gz | 77.9 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ontolearn-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 100.2 kB
Release files / ontolearn-0.0.1.tar.gz
| Download URL | ontolearn-0.0.1.tar.gz |
|---|---|
| Size | 77.9 kB |
| Tags | Source |
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Release files / ontolearn-0.0.1-py3-none-any.whl
| Download URL | ontolearn-0.0.1-py3-none-any.whl |
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| Size | 22.3 kB |
| Tags | Python 3 |
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