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Chatbots have gradually become one of the main interactive tools in the Internet of Things era. The main technology behind it is natural language processing, and the understanding and expression of language are closely related to knowledge. As a form of large-scale knowledge representation, Each module in the man-machine dialogue system has important applications.
Language is the main way for humans to transmit information, but understanding language is not a simple matter. A sentence can be understood as N kinds of meanings in different environments. In order to solve the difficulty of semantic understanding, Time Berners-Lee put forward the concept of semantic network in 2001. The semantic network can describe the connection between things in a way that can be understood by computers. In 2012, Google formally proposed the concept of knowledge graph. Google tried to use knowledge graph to describe the semantic information of the massive webpage text content on the Internet, especially the objective factual text content. From these unstructured text content Extract entities and entity relationships, and transform their factual text content into interconnected graph structures, making it possible for computers to understand text and computer cognition, thereby providing users with better information services.
