Learning to Rerank Schema Matches
IEEE Transactions on Knowledge and Data Engineering(2021)
摘要
Schema matching is at the heart of integrating structured and semi-structured data with applications in data warehousing, data analysis recommendations, Web table matching, etc. Schema matching is known as an uncertain process and a common method to overcome this uncertainty introduces a human expert with a ranked list of possible schema matches to choose from, known as top-$K$K matching. In this ...
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关键词
Urban areas,Predictive models,Uncertainty,Prediction algorithms,Data integration,Data models,Task analysis
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