Self-configured Entity Resolution with pyJedAI.

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

2023 IEEE International Conference on Big Data (BigData)(2023)

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摘要
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.
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entity resolution,automatic configuration
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