Research on Construction and Application of Tourism Sequential Eventic Graph
Yizhen Wang, Hongyan Yun, Zhengmin Li, Yun Yang · 2021
In order to obtain travel advice and route information more intuitively, efficiently and intelligently, it's necessary to establish a more intelligent information retrieval way. By defining events in the tourism field, this paper constructs the vocabulary of sequential cue phrases, completes the explicit sequential relationship recognition based on pattern matching, and stores the explicit sequential relationship in Neo4j graph database in the form of triples to establish an Eventic Graph. Based on constructed Eventic Graph, the tourism sequential Eventic Graph application system has been designed and established. With the layered B/S structure design, the system is based on Flask framework, and the query function of the tourism route based on city and planning days is realized. Using D3.js to visually display the Eventic Graph by the graphical method. The experimental results show that the accuracy rate of explicit sequential relationship extraction based on pattern matching reaches 82.84%. The visual query function based on Eventic Graph can help people to retrieve tourist information more efficiently and intuitively, and provide references for users to make decision.