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Knowledge fusion is aimed to establish the relationship between heterogeneous ontology or heterogeneous instances. Data cleaning is one of the key technologies for solving knowledge fusion problems. In this paper, we provide a brief survey of knowledge fusion and data cleaning. We first briefly introduce the importance and background of knowledge fusion and data cleaning. Then we discuss some recent methods for knowledge fusion and spatiotemporal data cleaning. Finally, we outline some future directions of knowledge fusion and data cleaning.
Zhou et al. (Wed,) studied this question.
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