Knowledge Graph Generation for Enhanced Chatbot and Scientific Literature Synthesis - Code4Earth challenge 24

The aim of the project is to create a knowledge graph for Scientific documents. This is linked directly to the challenge https://github.com/ECMWFCode4Earth/challenges_2024/issues/7

Overview

Features

List the main features and functionalities of the Knowledge Graph:

• Feature 1: Description
• Feature 2: Description
• ...

Installation

To install necessary packages run:

pip install -r requirements.txt

Usage

Explain how to use the Knowledge Graph, including any specific commands, APIs, or interfaces available.

Data Sources

List the sources of data used to populate the Knowledge Graph, including any APIs, databases, or external datasets.

Architecture

Describe the architecture of the Knowledge Graph, including the technology stack used, data modeling approach, and any frameworks or libraries employed.

Examples

Provide examples or use cases demonstrating how the Knowledge Graph can be queried or utilized to extract insights or perform analysis.

Contributors

List the contributors to the project, along with their roles or contributions.

License

Specify the license under which the project is released. Choose an appropriate open-source license (e.g., MIT, Apache) and include the license text.

Acknowledgements

Acknowledge any individuals, organizations, or resources that contributed to the project or provided support and guidance.