Identifying names -- e.g., author names or company names -- is still an open problem. In this paper we review known similarity measures. These measures deal with phonetic similarity, typing errors and plain string similarity. We show experimentally that all three approaches lead to significant better retrieval quality than plain identity. Furthermore, we demonstrate that combinations of different similarity measures perform even better than any single technique.
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