翻译但由于数据、知识的不断增长知识图谱总是不完备的这种不完备性主要体现在实体缺失和三元组缺失两个方面实体缺失即对于知识图谱内本该涵盖范围内的实体在图谱中没有体现；三元组缺失即缺失某实体的重要属性或关系这都将导致基于知识图谱实现的下游任务效果欠佳。实体对齐技术旨在利用模型与算法判断两个不同来源、不同表示的实体是否指代的是现实中的同一对象从而降低知识图谱内的冗余实体数量并融合已对齐实体的三元组信息因此

Translation: However, due to the constant growth of data and knowledge, knowledge graphs are always incomplete, which is mainly manifested in two aspects: entity and triple missing. Entity missing refers to the absence of entities that should have been included in the knowledge graph, while triple missing refers to the lack of important attributes or relationships of a given entity, which can lead to unsatisfactory downstream task performance based on the knowledge graph. Entity alignment technology aims to use models and algorithms to determine whether two entities with different sources and representations refer to the same object in reality, thus reducing the number of redundant entities in the knowledge graph and integrating the triple information of aligned entities. Therefore, entity alignment is an important supporting technology for improving multimodal knowledge graphs.