| Title |
Intelligent Question Answering System Based On Knowledge Graph |
| ID_Doc |
32494 |
| Authors |
Feng X.; Liu Q.; Liu X. |
| Year |
2022 |
| Published |
2021 IEEE 23rd International Conference on High Performance Computing and Communications, 7th International Conference on Data Science and Systems, 19th International Conference on Smart City and 7th International Conference on Dependability in Sensor, Cloud and Big Data Systems and Applications, HPCC-DSS-SmartCity-DependSys 2021 |
| DOI |
http://dx.doi.org/10.1109/HPCC-DSS-SmartCity-DependSys53884.2021.00225 |
| 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. © 2021 IEEE. |
| Author Keywords |
Knowledge Graph; Question Answering System; smart city |
