Domain- and Structure-Agnostic End-to-End Entity Resolution with JedAI

We present JedAI, a new open-source toolkit for end- to-end Entity Resolution. JedAI is domain-agnostic in the sense that it does not depend on background ex- pert knowledge, applying seamlessly to data of any do- main with minimal human intervention. JedAI is also structure-agnostic, as it can process any type of data, ranging from structured (relational) to semi-structured (RDF) and un-structured (free-text) entity descriptions. JedAI consists of two parts: (i) JedAI-core is a library of numerous state-of-the-art methods that can be mixed and matched to form (thousands of) end-to-end work- flows, allowing for easily benchmarking their relative performance. (ii) JedAI-gui is a user-friendly desktop application that facilitates the composition of complex workflows via a wizard-like interface. It is suitable for both lay and power users, offering concrete guidelines and automatic configuration, as well as manual config- uration options, visual exploration, and detailed statis- tics for each method’s performance. In this paper, we also delve into the new features of JedAI’s latest version (2.1), and demonstrate its performance experimentally.