QDA: A Query Driven Approach to Entity Resolution
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
Domain – DATA MINING