Subjective Knowledge Base Construction Powered By Crowdsourcing and Knowledge Base

Author:

Xin Hao1,Meng Rui2,Chen Lei1

Affiliation:

1. Hong Kong University of Science and Technology, Hong Kong, China

2. BNU-HKBU United International College, Zhuhai, China

Funder

National Science Foundation of China (NSFC)

National Grand Fundamental Research 973 Program of China

Hong Kong RGC GRF Project

Science and Technology Planning Project of Guangdong Province

Publisher

ACM

Cited by 9 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. Jointly Canonicalizing and Linking Open Knowledge Base via Unified Embedding Learning;Proceedings of the ACM Web Conference 2024;2024-05-13

2. The Effect of Individual-Level Factors and Task Features on Interface Design for Rule-Verification Crowdsourcing Tasks;International Journal of Human–Computer Interaction;2024-04-16

3. Defining a Knowledge Graph Development Process Through a Systematic Review;ACM Transactions on Software Engineering and Methodology;2023-01-31

4. A Human-in-the-loop Approach to Social Behavioral Targeting;2021 IEEE 37th International Conference on Data Engineering (ICDE);2021-04

5. Task Selection Based on Worker Performance Prediction in Gamified Crowdsourcing;Agents and Multi-Agent Systems: Technologies and Applications 2021;2021

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