How to avoid jumping to conclusions: Measuring the robustness of outstanding facts in knowledge graphs

• Main Authors: XIAO, Hanhua, LI, Yuchen, WANG, Yanhao, KARRAS, Panagiotis, MOURATIDIS, Kyriakos, AVLONA, Natalia Rozalia
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: outstanding facts; robustness measurement; perturbation analysis; knowledge graphs; Databases and Information Systems; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/9667; https://ink.library.smu.edu.sg/context/sis_research/article/10667/viewcontent/KDD24_KGPerturbationAnalysis.pdf
• Institution: Singapore Management University

An outstanding fact (OF) is a striking claim by which some entities stand out from their peers on someattribute. OFs serve data journalism, fact checking, and recommendation. However, one could jump to conclusions by selecting truthful OFs while intentionally or inadvertently ignoring lateral contex...