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Welcome to "The Ontology Explorer" 👋

Version Documentation Maintenance License: CC--BY--SA--4.0 DOI Twitter: ProcessCitizens

Single Page Application that allows comparing and analyzing heterogeneous data models.

Demo

Scientific Article

This software is described in detail in the following scientific article:

Van Rossem, W., & Pelizza, A. (2022). The ontology explorer: A method to make visible data infrastructures for population management. Big Data & Society, 9(1). https://doi.org/10.1177/20539517221104087

Please refer to the article for a comprehensive overview of the methodology and theoretical background behind the Ontology Explorer method and software.

If you use the Ontology Explorer in your research work or projects, we kindly request that you cite the corresponding scientific article.

Documentation

If you need instructions on how to use the software tool or access reference materials about it, please visit the documentation.

Authors

👤 Wouter Van Rossem is a researcher on the intersection between social science and computer science. He developed this software for the European Research Council (ERC) funded project, Processing Citizenship.

🏫 Processing Citizenship: The Processing Citizenship project examined how data infrastructures and practices for foreign population management shape the European order. The Ontology Explorer contributed by providing a semantic method and JavaScript-based open-source tool to analyse data models underpinning information systems in population management.

🤝 Contributing

Contributions, issues and feature requests are welcome!
Feel free to check issues page. You can also take a look at the contributing guide.

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Give a ⭐️ if this project helped you!

Funding

This project has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme under grant agreement No 714463.

📝 License

Copyright © 2021 Wouter Van Rossem & Processing Citizenship.
This project is CC-BY-SA-4.0 licensed.

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SPA that allows comparing and analyzing heterogeneous data models.

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