Design of Intelligent Tourism Question Answering System Based on Semantic Web

Hua HU, Shi-zheng ZHU

Abstract


In order to promote the tourism service more automated and intelligent, this paper designs an intelligent tourism question answering system through the key technology of the semantic web, which makes it easy for users to quickly and accurately acquire the query results and information from massive amounts of data on the network. Greatly improving the semantics of sentence, the algorithm posed in the system provides a new method for question matching as a fusion similarity algorithm based on literal similarity and semantic similarity.

Keywords


Smart Tourism, Semantic Network, Intelligent Question Answering System


DOI
10.12783/dtem/eced2017/9822

Refbacks

  • There are currently no refbacks.