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PREDICTING LINKS IN KNOWLEDGE GRAPHS USING ONTOLOGICAL KNOWLEDGE

机译:使用本体知识预测知识图谱中的链接

摘要

#$%^&*AU2019200124A120190801.pdf#####ABSTRACT A device receives training data and an ontology for the training data, where the training data includes information associated with a subject of the ontology. The device generates a knowledge graph based on the training data and the ontology, and converts the knowledge graph into knowledge graph embeddings, where the knowledge graph embeddings include points in a k-dimensional metric space. The device receives a new entity that is not present in the knowledge graph embeddings, and generates a new embedding of the new entity. The device adds the new embedding to the knowledge graph embeddings, and utilizes the knowledge graph embeddings, with the new embedding, to perform an action.0 00 4coc co~ 0) 4- Cl) CDI CD c f 4n (0) 0 0 0 c D a) 0_ CD
机译:#$%^&* AU2019200124A120190801.pdf #####抽象设备接收训练数据和该训练数据的本体,其中训练数据包括与本体的主题相关联的信息。装置根据训练数据和本体生成知识图,并转换知识图转化为知识图嵌入,其中知识图嵌入包括k维度量空间中的点。设备收到新的知识图嵌入中不存在的实体,并生成一个新的嵌入新实体。设备将新的嵌入添加到知识图嵌入,并将知识图嵌入与新嵌入一起用于执行一个动作。0004可可co〜0)4-氯)CDI光盘c f 4n(0)<0 00点>D a)0_光盘

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