Intelligent Graph Review System Based on Knowledge Map
Liangsheng Zhu, Wenwen Bian, Bin Wu, Wanli Feng, Quanyin Zhu, Houhou Song, Lingyu Hu · 2019
In order to meet the background of the digital map review of the rapid development of information technology such as "Internet +", big data, machine learning, etc., a smart graph review system based on knowledge map is proposed. The system includes a data processing module, a knowledge map building module, and a comment recommendation module. At present, the knowledge map is constructed through the Neo4j database, and the accuracy of the entity recognition algorithm in this project reaches 95.7%. The survey results show that the application of the system can meet the requirements of intelligent review.