BrewER is our framework to perform entity resolution on-demand, whose reference research paper [1] has been presented at VLDB 2022.
Here we provide the code of our framework as presented in our demo paper [2], accepted for VLDB 2023.
The code of BrewER itself, contained in the file "brewer.py", has been refined from the original version; we also provide as a reference an expanded version of the camera dataset used in our research paper [1]. We will gradually upload the other datasets that we will use in our demo and add more functionalities to the provided code.
[1] Giovanni Simonini, Luca Zecchini, Sonia Bergamaschi, Felix Naumann: "Entity Resolution On-Demand". Proceedings of the VLDB Endowment (PVLDB), vol. 15, n. 7, pp. 1506-1518 (2022). https://doi.org/10.14778/3523210.3523226 - https://github.com/dbmodena/BrewER
[2] Luca Zecchini, Giovanni Simonini, Sonia Bergamaschi, Felix Naumann: "BrewER: Entity Resolution On-Demand". Proceedings of the VLDB Endowment (PVLDB), vol. 16, n. 12 (2023).