Multi Modal Entity Alignment

Multi-modal Entity Alignment is a cross-modal entity alignment technique that aims to achieve precise matching and association of entities across multiple-source knowledge bases by integrating different types of data, such as text, images, and audio. The goal of this technology is to construct a unified multi-modal knowledge graph, enhancing the accuracy and robustness of applications like information retrieval, recommendation systems, and semantic understanding, thereby improving user interaction experiences and system performance.