Knowledge map reasoning technology based on complex network

Abstract

In recent years, with the rapid development of artificial intelligence technology, knowledge mapping research based on data mining, machine learning and knowledge engineering has attracted the attention of a large number of researchers. Knowledge mapping has important theoretical value and practical significance for the development of artificial intelligence and machine cognitive intelligence. In recent years, researchers have achieved a lot of excellent research results in the field of knowledge mapping technology, but there are still some problems to be solved. This paper studies the construction technology of knowledge map based on social network, mainly discusses the problems of entity acquisition, entity disambiguation, relationship completion, relationship reasoning and knowledge conflict resolution. The research results of this paper can provide reference for intelligent applications such as intelligent information retrieval, dialogue system and intelligent recommendation.