基于图的联合特征实体链接方法

A graph-based method for multi-feature entity linking

实体链接是指将文本中的实体指称映射到知识库实体的过程,这一过程在知识图谱、知识融合领域都是关键的步骤之一.提出了一种基于图的联合特征实体链接方法,首先对知识库和文本进行预处理,然后识别文本中的命名实体指称,随后联合主题、上下文、元数据等多特征的语义相似度,在经扩充的图模型中利用重启随机游走和联合消歧选出指称的链接实体.实验结果表明,基于图的联合特征实体链接方法有效提高了实体链接效果.

Entity linking refers to the process of linking entity mentioned in text with knowledge base entity,which is one of the key steps in knowledge graph and knowledge fusion.This paper proposes a graph-based method for multi-feature entity linking.This method first preprocesses the knowledge base and the text,then identifies the named entity references in the text,and then combines the semantic similarity of multiple features such as topics,context,metadata,etc.In the expanded graph model,the probability of restarting random walk is used,and the target candidate entity is selected by joint disambiguation.The results of experiment show that the joint feature-based entity linking method based on graphs effectively improves the effectiveness of entity linking.