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An interface to parse/load ontologies (as artifacts) using the OntoUML language (which is a UML Profile adherent to the UFO top-level ontology)

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OntoUMLLoader
OntoUMLLoader
 
 
inputs
inputs
 
 
old_notebooks
old_notebooks
 
 
output
output
 
 
past onto vers
past onto vers
 
 
.DS_Store
.DS_Store
 
 
.gitattributes
.gitattributes
 
 
.gitignore
.gitignore
 
 
Cópia_de_Stone_experiments_google_colab.ipynb
Cópia_de_Stone_experiments_google_colab.ipynb
 
 
Dictionary Ontology to Graph + Exp Manual.xlsx
Dictionary Ontology to Graph + Exp Manual.xlsx
 
 
Dictionary Ontology to Graph + Exp Manual2.xlsx
Dictionary Ontology to Graph + Exp Manual2.xlsx
 
 
JSON_ontologia_Auto.json
JSON_ontologia_Auto.json
 
 
JSON_ontologia_Exp_Manual.json
JSON_ontologia_Exp_Manual.json
 
 
JSON_ontologia_correto_vfinal2.json
JSON_ontologia_correto_vfinal2.json
 
 
LICENSE
LICENSE
 
 
Main interactiveV2.ipynb
Main interactiveV2.ipynb
 
 
README.md
README.md
 
 
Tables.ipynb
Tables.ipynb
 
 
answer_relevance_debuged.py
answer_relevance_debuged.py
 
 
answer_relevance_debugedPT.py
answer_relevance_debugedPT.py
 
 
app.py
app.py
 
 
calculate_detailed_correctness.py
calculate_detailed_correctness.py
 
 
comparative.ipynb
comparative.ipynb
 
 
context_entities_interactive.ipynb
context_entities_interactive.ipynb
 
 
context_entity_recall.py
context_entity_recall.py
 
 
correlograma.ipynb
correlograma.ipynb
 
 
debug_answer_relevance.ipynb
debug_answer_relevance.ipynb
 
 
deep_semantics.py
deep_semantics.py
 
 
detailed_correctness_interactive.ipynb
detailed_correctness_interactive.ipynb
 
 
df_combined.xlsx
df_combined.xlsx
 
 
entity_linking_gabriel.py
entity_linking_gabriel.py
 
 
evaluate_enriched_prompts.py
evaluate_enriched_prompts.py
 
 
factual_correctness_colab.ipynb
factual_correctness_colab.ipynb
 
 
generate.py
generate.py
 
 
gerar_triple_deep.py
gerar_triple_deep.py
 
 
gerar_triple_light.py
gerar_triple_light.py
 
 
graph_data.py
graph_data.py
 
 
json.ipynb
json.ipynb
 
 
json_interactive.ipynb
json_interactive.ipynb
 
 
light_semantics_v1.py
light_semantics_v1.py
 
 
matching conversas.ipynb
matching conversas.ipynb
 
 
merge.ipynb
merge.ipynb
 
 
merge_groundt_truths.ipynb
merge_groundt_truths.ipynb
 
 
orchestratorv10.py
orchestratorv10.py
 
 
perfomance_metrics_interactive.ipynb
perfomance_metrics_interactive.ipynb
 
 
pre processing.ipynb
pre processing.ipynb
 
 
preprocessingONTO.ipynb
preprocessingONTO.ipynb
 
 
rag_metrics.py
rag_metrics.py
 
 
ragas_interactive.ipynb
ragas_interactive.ipynb
 
 
requirements.txt
requirements.txt
 
 
res320_gemma.xlsx
res320_gemma.xlsx
 
 
sampling.ipynb
sampling.ipynb
 
 
serializer_onto].ipynb
serializer_onto].ipynb
 
 
setup.py
setup.py
 
 
valid_conversations.ipynb
valid_conversations.ipynb
 
 

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Workflow

Install dependencies

pip install -r requirements.txt

Install ollama

1 download from https://ollama.com

2 pull LLM for experiments in CMD: ollama pull llama3.1 ollama pull llama3.2:1b lighter version

Run main script (main loop)

orchestrator.py

About

An interface to parse/load ontologies (as artifacts) using the OntoUML language (which is a UML Profile adherent to the UFO top-level ontology)

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