Approximate Ontology Reasoning for Domain-Specific Knowledge Graph based on Deep Learning

2021 7th International Conference on Big Data and Information Analytics (BigDIA)(2021)

引用 1|浏览1
暂无评分
摘要
Ontology reasoning has great potential in application of domain-specific knowledge graph. However, the traditional ontology reasoner is difficult to perform rapidly reasoning on domain-specific knowledge graph as its complex logical expression and large-scale assertion set. On the other hand, the knowledge graph reasoning method based on presentation learning has better scalability, but it is hard...
更多
查看译文
关键词
Deep learning,Training,Scalability,Transforms,Ontologies,Big Data,Cognition
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要