Integrating knowledge from knowledge graphs and large language models for explainable entity alignment

Linyao Yang

doi:10.1016/j.inffus.2025.103587

Integrating knowledge from knowledge graphs and large language models for explainable entity alignment

2025-08-07

0

PRE

AI

DOI：10.1016/j.inffus.2025.103587

Original

Original request for help

Save

Abstract

En 中文

• Combined KGs and LLMs for accurate, explainable entity alignment. • Designed a CNN-based retriever to integrate diverse information for retrieval. • Prompted LLMs to decide equivalence and give clear justifications.

Keywords:

Knowledge Graphs

Large Language Models

Entity Alignment

Convolutional Neural Networks

Explainable AI

Integrating knowledge from knowledge graphs and large language models for explainable entity alignment

Abstract

Journal

Organization

Cited Papers