QDA: A Query Driven Approach to Entity Resolution

Introduction:
This paper addresses the problem of query-aware data cleaning in the context of a user query. In particular, we develop a novel Query-Driven Approach (QDA) that systematically exploits the semantics of the predicates in SQL-like selection queries to reduce the data cleaning overhead. The objective of QDA is to issue the minimum number of cleaning steps that are necessary to answer a given SQL-like selection correctly. The comprehensive empirical evaluation of QDA demonstrates outstanding results – that is QDA is significantly better compared to traditional ER techniques, especially when the query is very selective.

Reference IEEE paper:
“QDA: A Query Driven Approach to Entity Resolution”, IEEE Transactions on Knowledge and Data Engineering, 2017.

Unique ID -SBI1044

DomainDATA MINING

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