Entity Mapping

Entity mapping focuses on identifying equivalent entities across different knowledge bases or datasets, aiming to integrate and harmonize information from diverse sources. Current research emphasizes developing robust methods for this task, leveraging techniques like contrastive learning in heterogeneous graphs, large language models for refining mappings, and self-training approaches to reduce reliance on labeled data. These advancements are crucial for improving data integration in various fields, including scientific computing, geographic information systems, and knowledge base construction, ultimately facilitating more comprehensive and accurate analyses.