Scoping: Towards streamlined entity collections for multi-sourced Entity Resolution with self-supervised agents

The goal of Scoping is to reduce the space of candidate entity pairs by ranking, detecting, and removing unlinkable entities through outlier algorithms and self-supervised reusable autoencoders, leaving intact the set of true linkages.

OC3-HR Dataset

The annotated multi-sourced entity linkage dataset is sourced from sample schemas from the following three database vendors:

• Oracle: https://github.com/oracle-samples/db-sample-schemas

• MySQL: https://www.mysqltutorial.org/mysql-sample-database.aspx

• HANA: https://github.com/saphanaacademy/HXE/tree/master/STS

• Category domain-specific: 3 x Orders-Customers schemas (Oracle, MySQL, SAP HANA)

• Category domain-agnostic: 1 additional Human-Resources schema (Oracle)

Reference

If you want to use scoping or the OC3-HR dataset, please reference the conference paper:

• DOI: 10.5220/0012607500003690
• Harvard, Bibtex, and EndNote citation format available here: https://www.scitepress.org/Link.aspx?doi=10.5220/0012607500003690

Contact

leonard.traeger@umbc.edu for any related questions