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Noise-tolerant approximate blocking for dynamic real-time entity resolution

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Date

2014

Authors

Liang, Huizhi (Elly)
Wang, Yuanzhi (Derek)
Christen, Peter
Gayler, Ross

Journal Title

Journal ISSN

Volume Title

Publisher

Springer Verlag

Abstract

Entity resolution is the process of identifying records in one or multiple data sources that represent the same real-world entity. This process needs to deal with noisy data that contain for example wrong pronunciation or spelling errors. Many real world

Description

Keywords

Citation

URI

http://hdl.handle.net/1885/71544

Collections

ANU Research Publications

Source

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Type

Conference paper

Book Title

Entity type

Access Statement

License Rights

DOI

10.1007/978-3-319-06605-9_37

Restricted until

2037-12-31

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01_Liang_Noise-tolerant_approximate_2014.pdf (329.54 KB)

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