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Truth Discovery from Conflicting Multi-Valued Objects
2017
Proceedings of the 26th International Conference on World Wide Web Companion - WWW '17 Companion
Truth discovery is a fundamental research topic, which aims at identifying the true value(s) of objects of interest given the conflicting multi-sourced data. Although considerable research efforts have been conducted on this topic, we can still point out two significant issues unsolved: i) single-valued assumption, i.e., current methods assume only one true value for each object, while in reality objects with multiple true values widely exist; ii) sparse ground truth, i.e., current works
doi:10.1145/3041021.3053374
dblp:conf/www/Fang17
fatcat:gohttomo65bujlzawjdgelckwi