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IntelLiGent Battery Knowledge Navigator

Overview

The IntelLiGent Battery Knowledge Navigator provides an innovative battery data management and analysis platform. It seamlessly integrates semantic technologies (RDF, SPARQL, BattINFO ontology) with an SQL database infrastructure, streamlining battery research data storage and analysis. Developed as part of the Horizon Europe research project IntelLiGent, this tool stands at the forefront of advancing battery technologies.

Features

  • Semantic Integration: Harnesses RDF, BattINFO ontology, and SPARQL to form a comprehensive knowledge graph for intricate data linkages.
  • SQL Data Management: Efficiently manages large-scale time-series and cycle-series battery datasets, ensuring scalability and integrity.
  • Interactive UI: Facilitates effortless data entry, retrieval, and analysis while adhering to FAIR principles.
  • Integration Potential: Forward-looking approach with planned seamless interactions with the Galvanalyser platform for direct data exchange.

Requirements

Python Blazegraph PostgreSQL

Getting Started

  1. Clone the repository: https://github.com/HEU-IntelLiGent/BatteryKnowledgeNavigator
  2. Follow the installation guide provided in the documentation.
  3. Explore the demo features for a hands-on understanding of the app's capabilities.

Contribution

We encourage contributions from the battery research community. Check the CONTRIBUTING.md file for guidelines.

Future Work

  • Integration with the Galvanalyser system for direct data harvesting from battery cyclers.
  • Enhanced data-driven insights with additional experimental data inputs.

License

This project is licensed under the MIT License - see the LICENSE.md file for details.

Acknowledgments

Special thanks to the EU H2020 project BIG-MAP for the BattINFO ontology and everyone involved in the IntelLiGent project.

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