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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 workflows, 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 configuration options, visual exploration, and detailed statistics 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.<\/jats:p>","DOI":"10.1145\/3385658.3385664","type":"journal-article","created":{"date-parts":[[2020,2,25]],"date-time":"2020-02-25T21:19:34Z","timestamp":1582665574000},"page":"30-36","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":18,"title":["Domain- and Structure-Agnostic End-to-End Entity Resolution with JedAI"],"prefix":"10.1145","volume":"48","author":[{"given":"George","family":"Papadakis","sequence":"first","affiliation":[{"name":"National and Kapodistrian University of Athens, Athens, Greece"}]},{"given":"Leonidas","family":"Tsekouras","sequence":"additional","affiliation":[{"name":"NCSR \"Demokritos\", Greece, Greece"}]},{"given":"Emmanouil","family":"Thanos","sequence":"additional","affiliation":[{"name":"KU Leuven, Belgium"}]},{"given":"George","family":"Giannakopoulos","sequence":"additional","affiliation":[{"name":"NCSR \"Demokritos\", Greece, Greece"}]},{"given":"Themis","family":"Palpanas","sequence":"additional","affiliation":[{"name":"Paris Descartes University, France"}]},{"given":"Manolis","family":"Koubarakis","sequence":"additional","affiliation":[{"name":"National and Kapodistrian University of Athens, Greece"}]}],"member":"320","published-online":{"date-parts":[[2020,2,25]]},"reference":[{"key":"e_1_2_1_1_1","first-page":"281","article-title":"Random search for hyperparameter optimization","volume":"13","author":"Bergstra J.","year":"2012","unstructured":"J. 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