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Research on Key Information Retrieval Method of Complex Network Based on Artificial Intelligence

  • Bozhong LiuEmail author
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 301)

Abstract

Aiming at the problem of poor retrieval accuracy and slow retrieval speed of information retrieval method based on hyperlink, a key information retrieval method based on artificial intelligence was proposed. The method was mainly divided into three steps, and each step was completed with the help of artificial intelligence. First, file information was preprocessed (information processing and information filtering), then keywords were extracted from information content, and finally semantic similarity calculation and semantic information matching were conducted to complete key information retrieval in complex networks. The results showed that the accuracy of key information retrieval method of complex network based on artificial intelligence was improved by 2.27% and the speed of retrieval was improved by 3.06 s.

Keywords

Artificial intelligence Complex networks Information retrieval Keywords extraction Semantic similarity Semantic information matching 

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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019

Authors and Affiliations

  1. 1.School of Electronic and Information EngineeringGuang’an Vocational Technical CollegeGuang’anChina

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