Knowledge Graph semantic enhancement of input data for improving AI
IEEE Internet Computing(2020)
摘要
Intelligent systems designed using machine learning algorithms require a large number of labeled data. Background knowledge provides complementary, real-world factual information that can augment the limited labeled data to train a machine learning algorithm. The term Knowledge Graph (KG) is in vogue as for many practical applications, it is convenient and useful to organize this background knowle...
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关键词
Training data,Machine learning algorithms,Task analysis,Computer architecture,Semantics,Machine learning,Biological neural networks
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