计算机工程与应用2019，Vol.55Issue(12)：8-19,36,13.DOI:10.3778/j.issn.1002-8331.1901-0358
基于神经网络的知识推理研究综述
Survey of Knowledge Reasoning Based on Neural Network
摘要
Abstract
Knowledge reasoning is an important means of knowledge graph completion and has always been one of the research hotspots in the field of knowledge graph. With the development of neural network, its applications in knowledge reasoning have been paid more and more attention in recent years. The knowledge reasoning methods based on neural net-work have not only stronger reasoning and generalization abilities, but also higher utilization rates of entities, attributes, relations and text information in the knowledge base. These methods are more effective in reasoning. The relevant con-cepts of knowledge graph and knowledge graph completion are introduced, the concepts and basic principles of knowl-edge reasoning are indicated, and then the latest research progresses of the technology of knowledge reasoning based on neural network are reviewed. The existing problems and development directions of knowledge reasoning in the aspect of theory, algorithm and application are summarized.关键词
知识图谱/知识推理/神经网络Key words
knowledge graph/ knowledge reasoning/ neural network分类
信息技术与安全科学引用本文复制引用
张仲伟,曹雷,陈希亮,寇大磊,宋天挺..基于神经网络的知识推理研究综述[J].计算机工程与应用,2019,55(12):8-19,36,13.基金项目
国防科技重点实验室基金(No.61421010318) （No.61421010318）
国家自然科学基金(No.61806221). （No.61806221）
