Bohui Zhang
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Update the third version
Browse files- README.md +20 -7
- ontochat/__pycache__/__init__.cpython-311.pyc +0 -0
- ontochat/__pycache__/analysis.cpython-311.pyc +0 -0
- ontochat/__pycache__/chatbot.cpython-311.pyc +0 -0
- ontochat/__pycache__/config.cpython-311.pyc +0 -0
- ontochat/__pycache__/functions.cpython-311.pyc +0 -0
- ontochat/__pycache__/queries.cpython-311.pyc +0 -0
- ontochat/__pycache__/verbaliser.cpython-311.pyc +0 -0
README.md
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<div align="center">
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<img src="assets/title_logo.png" width="96%" height="auto" />
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</div>
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# OntoChat
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We introduce **OntoChat**, a framework for conversational ontology engineering that supports requirement elicitation,
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analysis, and testing. By interacting with a conversational agent, users can steer the creation of use cases and the
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extraction of competency questions, while receiving computational support to analyse the overall requirements and test
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early versions of the resulting ontologies.
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##
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1. Create a python environment and install the requirements using `pip install -r requirements.txt`.
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2. Run `app.py`.
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## Hosting in Hugging Face Spaces
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OntoChat has been hosted in HF Spaces at: [https://huggingface.co/spaces/b289zhan/OntoChat](https://huggingface.co/spaces/b289zhan/OntoChat).
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- Improve the verbaliser (classes, named entities, and relations might be messy in some cases)
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- Optimize clustering visualization (maybe only keep LLM lcustering)
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- Add [flagging](https://www.gradio.app/docs/flagging), e.g., [`HuggingFaceDatasetSaver`](https://www.gradio.app/docs/flagging#hugging-face-dataset-saver-header)
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---
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title: OntoChat
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emoji: 📙
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colorFrom: yellow
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colorTo: gray
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sdk: gradio
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sdk_version: 4.18.0
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app_file: app.py
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pinned: false
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license: apache-2.0
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---
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<div align="center">
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<img src="assets/title_logo.png" width="96%" height="auto" />
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</div>
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# OntoChat
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We introduce **OntoChat**, a framework for conversational ontology engineering that supports requirement elicitation,
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analysis, and testing. By interacting with a conversational agent, users can steer the creation of use cases and the
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extraction of competency questions, while receiving computational support to analyse the overall requirements and test
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early versions of the resulting ontologies.
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## GitHub Copy
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- The source code will also be available soon on GitHub: [King-s-Knowledge-Graph-Lab/OntoChat](https://github.com/King-s-Knowledge-Graph-Lab/OntoChat).
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## Hosting in Hugging Face Spaces
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OntoChat has been hosted in HF Spaces at: [https://huggingface.co/spaces/b289zhan/OntoChat](https://huggingface.co/spaces/b289zhan/OntoChat).
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- Improve the verbaliser (classes, named entities, and relations might be messy in some cases)
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- Optimize clustering visualization (maybe only keep LLM lcustering)
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- Add [flagging](https://www.gradio.app/docs/flagging), e.g., [`HuggingFaceDatasetSaver`](https://www.gradio.app/docs/flagging#hugging-face-dataset-saver-header)
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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