SourceVote: Fusing multi-valued data via inter-source agreements

• Main Authors: FANG, Xiu Susie, SHENG, Quan Z., WANG, Xianzhi, BARHAMGI, Mahmoud, YAO, Lina, NGU, Anne H.H.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2017
• Subjects: Data integration; Data fusion; Multi-valued data items; Inter-source agreements; Databases and Information Systems; Data Storage Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/3941; https://ink.library.smu.edu.sg/context/sis_research/article/4943/viewcontent/101007_2F978_3_319_69904_2_13.pdf
• Institution: Singapore Management University

Data fusion is a fundamental research problem of identifying true values of data items of interest from conflicting multi-sourced data. Although considerable research efforts have been conducted on this topic, existing approaches generally assume every data item has exactly one true value, which fai...