Knowledge graph embedding methods for entity alignment: experimental review
In recent years, we have witnessed the proliferation of knowledge graphs (KG) in various
domains, aiming to support applications like question answering, recommendations, etc. A …
domains, aiming to support applications like question answering, recommendations, etc. A …
HybEA: Hybrid Attention Models for Entity Alignment
The proliferation of Knowledge Graphs (KGs) that support a wide variety of applications, like
entity search, question answering and recommender systems, has led to the need for …
entity search, question answering and recommender systems, has led to the need for …
A Framework for Evaluating Entity Alignment Impact on Downstream Knowledge Discovery
Entity alignment (EA) is a crucial process in integrating data from multiple sources,
facilitating Knowledge Discovery (KD). Despite advances in EA techniques, selecting the …
facilitating Knowledge Discovery (KD). Despite advances in EA techniques, selecting the …
[PDF][PDF] FairER demo: Fairness-Aware and Explainable Entity Resolution
N Fanourakis, C Kontousias, V Efthymiou… - 2023 - hozo.jp
Entity resolution (ER) is the problem of identifying references to the same real-world objects,
in disparate data sources. It has been recently shown that ER results are prone to bias …
in disparate data sources. It has been recently shown that ER results are prone to bias …