Constrained Truth Discovery (Extended Abstract)

Chen Ye, Hongzhi Wang, Kangjie Zheng, YouKang Kong, Rong Zhu, Jing Gao, Jianzhong Li

Abstract: Aggregating the information provided by multiple data sources, which is also known as information integration , plays an important role in data analytics. Since there often exists recording errors, intentional errors, conflicts and outdated data across different data sources, finding the true attribute values of each entity is a fundamental task of crucial importance [3] . The process to fulfill this task is called truth discovery , which has been extensively studied in the literature.