Complex Knowledge Base Question Answering: A Survey-Reference-Cited by-同舟云学术

Complex Knowledge Base Question Answering: A Survey

Published:2022 Issue: Volume: Page:1-20
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Lan Yunshi¹,He Gaole²^ORCID,Jiang Jinhao³,Jiang Jing⁴,Xin Zhao Wayne³^ORCID,Wen Ji-Rong³^ORCID

Affiliation:

1. School of Data Science and Engineering, East China Normal University, China

2. Web Information Systems group of the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS/EWI), Delft University of Technology, Netherlands

3. Gaoling School of Artificial Intelligence, Renmin University of China, China

4. School of Computing and Information System, Singapore Management University, Singapore

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/69/4358933/09960856.pdf?arnumber=9960856

Cited by 31 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. GS-CBR-KBQA: Graph-structured case-based reasoning for knowledge base question answering;Expert Systems with Applications;2024-12

2. A self-supervised entity alignment framework via attribute correction;Journal of King Saud University - Computer and Information Sciences;2024-10

3. Self-supervised BGP-graph reasoning enhanced complex KBQA via SPARQL generation;Information Processing & Management;2024-09

4. OntoXAI: a semantic web rule language approach for explainable artificial intelligence;Cluster Computing;2024-08-07

5. Triple alignment-enhanced complex question answering over knowledge bases;Neurocomputing;2024-07