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| Content Provider | Springer Nature Link |
|---|---|
| Author | Yu, Minghe Li, Guoliang Deng, Dong Feng, Jianhua |
| Copyright Year | 2015 |
| 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. |
| Starting Page | 399 |
| Ending Page | 417 |
| Page Count | 19 |
| File Format | |
| ISSN | 20952228 |
| Journal | Frontiers of Computer Science in China |
| Volume Number | 10 |
| Issue Number | 3 |
| e-ISSN | 20952236 |
| Language | English |
| Publisher | Higher Education Press |
| Publisher Date | 2015-11-24 |
| Publisher Institution | Chinese Universities |
| Publisher Place | Beijing |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | string similarity similarity search similarity join top-k Computer Science |
| Content Type | Text |
| Resource Type | Article |
| Subject | Theoretical Computer Science Computer Science |
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