Semantic Feature Expansion Technology Based on Knowledge Map

摘要

As one of the key techniques for improving both recall and precision rate in information retrieval, feature expansion has gradually become a hot direction in recent years. Feature expansion can effectively improve the problem of low retrieval efficiency brought by short query word ambiguity. Semantic features contain a lot of useful information but cannot be obtained directly from data, it is need to use some special methods and thus enable correct decoding of implicit messages. According to fact that knowledge graph has a lot of semantic concepts and semantic relations, this paper designed an automatic acquisition method of semantic feature expansion based on TCM knowledge graph. Experimental results for this method have verified semantic feature expansion technology.