Scoping: Towards Streamlined Entity Collections for Multi-Sourced Entity Resolution with Self-Supervised Agents

Leonard Traeger, Leonard Traeger, Andreas Behrend, George Karabatis

2024

Abstract

Linking multiple entities to a real-world object is a time-consuming and error-prone task. Entity Resolution (ER) includes techniques for vectorizing entities (signature), grouping similar entities into partitions (blocking), and matching entity pairs based on specified similarity thresholds (filtering). This paper introduces scoping as a new and integral phase in multi-sourced ER with potentially increased heterogeneity and more unlinkable entities. Scoping reduces the space of candidate entity pairs by ranking, detecting, and removing unlinkable entities through outlier algorithms and reusable self-supervised autoencoders, leaving intact the set of true linkages. Evaluations on multi-sourced schemas show that autoencoders perform best in schemas relevant to each other, where they reduce entity collections to 77% and still contain all linkages.

Paper Citation

in Harvard Style

Traeger L., Behrend A. and Karabatis G. (2024). Scoping: Towards Streamlined Entity Collections for Multi-Sourced Entity Resolution with Self-Supervised Agents. In Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-692-7, SciTePress, pages 107-115. DOI: 10.5220/0012607500003690

in Bibtex Style

@conference{iceis24,
author={Leonard Traeger and Andreas Behrend and George Karabatis},
title={Scoping: Towards Streamlined Entity Collections for Multi-Sourced Entity Resolution with Self-Supervised Agents},
booktitle={Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2024},
pages={107-115},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012607500003690},
isbn={978-989-758-692-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - Scoping: Towards Streamlined Entity Collections for Multi-Sourced Entity Resolution with Self-Supervised Agents
SN - 978-989-758-692-7
AU - Traeger L.
AU - Behrend A.
AU - Karabatis G.
PY - 2024
SP - 107
EP - 115
DO - 10.5220/0012607500003690
PB - SciTePress