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String similarity search and join: a survey |
Minghe YU,Guoliang LI( ),Dong DENG,Jianhua FENG |
| Department of Computer Science, Tsinghua University, Beijing 100084, China |
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Abstract String similarity search and join are two important operations in data cleaning and integration, which extend traditional exact search and exact join operations in databases by tolerating the errors and inconsistencies in the data. They have many real-world applications, such as spell checking, duplicate detection, entity resolution, and webpage clustering. Although these two problems have been extensively studied in the recent decade, there is no thorough survey. In this paper, we present a comprehensive survey on string similarity search and join. We first give the problem definitions and introduce widely-used similarity functions to quantify the similarity. We then present an extensive set of algorithms for string similarity search and join. We also discuss their variants, including approximate entity extraction, type-ahead search, and approximate substring matching. Finally, we provide some open datasets and summarize some research challenges and open problems.
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| Keywords
string similarity
similarity search
similarity join
top-k
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Corresponding Author(s):
Guoliang LI
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Just Accepted Date: 22 October 2015
Online First Date: 06 April 2016
Issue Date: 16 May 2016
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