Make it easy: An effective end-to-end entity alignment framework

• Main Authors: GE, Congcong, LIU, Xiaoze, CHEN, Lu Chen, ZHENG, Baihua, GAO, Yunjun
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: Entity alignment; Entity name; Graph structure; Iterative training; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/6127; https://ink.library.smu.edu.sg/context/sis_research/article/7130/viewcontent/3404835.3462870.pdf
• Institution: Singapore Management University

Entity alignment (EA) is a prerequisite for enlarging the coverage of a unified knowledge graph. Previous EA approaches either restrain the performance due to inadequate information utilization or need labor-intensive pre-processing to get external or reliable information to perform the EA task. Thi...