PyResolveMetrics

This is a standards compliant (PEP-544) and efficient library for computing entity resolution metrics. The library currently supports two ways of modelling entity resolution:

• Fellegi-Sunter
• algebraic

Set up

This library uses Poetry to manage dependencies and make for build management. Please make sure these tools are installed.

Run tests

Run the unit tests for this project using make.

$ make test

Usage sample

Sample code that's informative about the library's capabilities is available. Check it out to figure out how the library works. The unit tests can also be used as documentation.

Paper Citation

This paper was published in the Proceedings of the 16th International Conference on Computer Supported Education.

in Harvard Style

Olar A. and Dioşan L. (2024). PyResolveMetrics: A Standards-Compliant and Efficient Approach to Entity Resolution Metrics. In Proceedings of the 16th International Conference on Computer Supported Education - Volume 1: CSEDU; ISBN 978-989-758-697-2, SciTePress, pages 257-263. DOI: 10.5220/0012546300003693

in Bibtex Style

@conference{csedu24,
author={Andrei Olar and Laura Dioşan},
title={PyResolveMetrics: A Standards-Compliant and Efficient Approach to Entity Resolution Metrics},
booktitle={Proceedings of the 16th International Conference on Computer Supported Education - Volume 1: CSEDU},
year={2024},
pages={257-263},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012546300003693},
isbn={978-989-758-697-2},
}