Discriminative and deterministic approaches towards entity resolution

Title
Discriminative and deterministic approaches towards entity resolution
Author(s)
온병원[온병원]이인규[이인규]최규상박호식[박호식]
Keywords
INFORMATION INTEGRATION
Issue Date
201408
Publisher
SPRINGER
Citation
JOURNAL OF INTELLIGENT INFORMATION SYSTEMS, v.43, no.1, pp.101 - 127
Abstract
To address the entity resolution problem, existing studies usually consist of two-steps. Given two lists of records, in the first step a small set of duplicate records (a candidate set) are selected based on index structures and algorithms for efficient entity resolution. Then, a given similarity function is applied to quantify the similarity of records in the candidate set. However, for real applications, it is a non-trivial task to select appropriate indexing techniques and similarity functions. In this paper, we tackle the problem of indexing and similarity function identification using both discriminative and deterministic approaches that select the best of indexing and similarity measures. According to our experimental results, our proposed solution considering both discriminative and deterministic approaches shows more than a 90 % average accuracy within hundreds of seconds.
URI
http://hdl.handle.net/YU.REPOSITORY/31138http://dx.doi.org/10.1007/s10844-014-0308-5
ISSN
0925-9902
Appears in Collections:
공과대학 > 모바일정보통신공학과 > Articles
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