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• W1600118575 abstract "Without a shadow of a doubt, data cleaning has played an important part in the history of data management and data analytics. Possessing high quality data has been proven to be crucial for businesses to do data driven decision making, especially within the information age and the era of big data. Resource Description Framework (RDF) is a standard model for data interchange on the semantic web. However, it is known that RDF data is dirty, since many of them are automatically extracted from the web. In this paper, we will first revisit data quality problems appeared in RDF data. Although many efforts have been put to clean RDF data, unfortunately, most of them are based on laborious manual evaluation. We will also describe possible solutions that shed lights on (semi-)automatically cleaning (big) RDF data." @default.
• W1600118575 created "2016-06-24" @default.
• W1600118575 creator A5062243169 @default.
• W1600118575 date "2015-04-01" @default.
• W1600118575 modified "2023-09-27" @default.
• W1600118575 title "Big RDF data cleaning" @default.
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• W1600118575 doi "https://doi.org/10.1109/icdew.2015.7129549" @default.
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