Intelligent Question Answering System Based on Knowledge Graph

Feng, Xijin; Liu, Qi; Liu, Xiaodong

Abstract

In order to build a smart city and pursue more efficient city management, various industries have introduced intelligent question answering into process management. The intelligent question answering system based on the knowledge graph is dedicated to feeding back the results of natural language questions to users, which greatly simplifies the urban management process. From the four methods of template-based, semantic parsing, sorting and retrieval, and deep learning, the intelligent question answer system based on the knowledge graph is summarized, and combined with the current application status, it summarizes and introduces the question answering system based on the knowledge graph that helps various industries in the construction of smart cities. It helps to provide new ideas for more researchers who are committed to urban management and knowledge graph question answering.

Citation

Feng, X., Liu, Q., & Liu, X. (2021, December). Intelligent Question Answering System Based on Knowledge Graph. Presented at IEEE SmartCity-2021, Hainan, China

• Presentation Conference Type: Conference Paper (published)
• Conference Name: IEEE SmartCity-2021
• Start Date: Dec 20, 2021
• End Date: Dec 22, 2021
• Acceptance Date: Oct 31, 2021
• Online Publication Date: May 30, 2022
• Publication Date: 2022
• Deposit Date: Nov 26, 2021
• Publisher: Institute of Electrical and Electronics Engineers
• Book Title: 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys)
• DOI: https://doi.org/10.1109/HPCC-DSS-SmartCity-DependSys53884.2021.00225
• Public URL: http://researchrepository.napier.ac.uk/Output/2824688