Papers › Profiling Entity Matching Benchmark Tasks

Profiling Entity Matching Benchmark Tasks

19 Oct 2020International Conference on Information & Knowledge Management 2020 10archive 2025-07-28

Anna Primpeli, Christian Bizer

Entity matching is a central task in data integration which has been researched for decades. Over this time, a wide range of benchmark tasks for evaluating entity matching methods has been developed. This resource paper systematically complements, profiles, and compares 21 entity matching benchmark tasks. In order to better understand the specific challenges associated with different tasks, we define a set of profiling dimensions which capture central aspects of the matching tasks. Using these dimensions, we create groups of benchmark tasks having similar characteristics. Afterwards, we assess the difficulty of the tasks in each group by computing baseline evaluation results using standard feature engineering together with two common classification methods. In order to enable the exact reproducibility of evaluation results, matching tasks need to contain exactly defined sets of matching and non-matching record pairs, as well as a fixed development and test split. As this is not the case for some widely-used benchmark tasks, we complement these tasks with fixed sets of non-matching pairs, as well as fixed splits, and provide the resulting development and test sets for public download. By profiling and complementing the benchmark tasks, we support researchers to select challenging as well as diverse tasks and to compare matching systems on clearly defined grounds.

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Tasks

Data IntegrationEntity ResolutionFeature Engineering

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Entity Resolution Abt-Buy Random Forest F1 (%) 85.00 #10 of 16 Archive leaderboard report
Entity Resolution Amazon-Google Random Forest F1 (%) 79.0 #5 of 17 Archive leaderboard report
Entity Resolution WDC Computers-xlarge Random Forest F1 (%) 78.0 #6 of 6 Archive leaderboard report

Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.

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