Simple entity resolution using Public Data
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Jan 8, 2024 - HTML
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Entity resolution
Entity resolution (also known as data matching, data linkage, record linkage, and many other terms) is the task of finding entities in a dataset that refer to the same entity across different data sources (e.g., data files, books, websites, and databases). Entity resolution is necessary when joining different data sets based on entities that may or may not share a common identifier (e.g., database key, URI, National identification number), which may be due to differences in record shape, storage location, or curator style or preference.
Here are 7 public repositories matching this topic...
Blog of the American Statistical Association's Record Linkage Interest Group.
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Nov 29, 2022 - HTML
Emulates the methods the US Census Bureau uses to link people across multiple data sources, using open-source software (Splink) and simulated data (from pseudopeople).
data-science spark record-linkage entity-resolution fuzzy-matching dask census-bureau data-matching splink
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Oct 14, 2024 - HTML
MINDFIRL stands for Minimum & Necessary Disclosure for Interactive Record Linkage. It is a software for interactive record linkage.
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Mar 27, 2023 - HTML
Undergraduate Final Project (needs README up to date!!) - Scientific paper soon to be included
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Jun 10, 2021 - HTML
A Flask app to take IDs and resolve them to Wikidata URIs
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Apr 8, 2019 - HTML
The website for FinTech Studios's zentity fork.
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Dec 17, 2020 - HTML
Created by Halbert L. Dunn
Released 1946
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