Self-configured Entity Resolution with pyJedAI

Vasilis Efthymiou, Ekaterini Ioannou, Manos Karvounis, Manolis Koubarakis, Jakub Maciejewski, Konstantinos Nikoletos, George Papadakis, Dimitrios Skoutas, Yannis Velegrakis, Alexandros Zeakis

Abstract: Entity Resolution has been an active research topic for the last three decades, with numerous algorithms proposed in the literature. However, putting them into practice is often a complex task that requires implementing, combining and configuring complementary individual algorithms into comprehensive end-to-end workflows. To facilitate this process, we are developing pyJedAI, a novel system that provides a unifying framework for any type of main works in the field (i.e., both unsupervised and learning-based ones). Our vision is to facilitate both novice and expert users to use and combine these algorithms through a series of principled approaches for automatically configuring and benchmarking end-to-end pipelines.