Duplicate bibliographic record detection with an OCR-converted source of information

研究成果: Article査読

2 被引用数 (Scopus)

抄録

Duplicate record detection has been an important issue in the fields of data and records management and various detection methods have been proposed. A new method, which uses an optical character recognition (OCR)-converted source of information for record matching to detect duplicates, is proposed and examined in this paper. First, the design of an experiment for examining the performance of such a duplicate detection method is discussed. The base record set with an OCR-converted title page and its verso were prepared along with two test record sets from different union catalogues, and duplicate records between the base record set and the test sets were manually identified. A duplicate detection system was developed to execute matching (1) between records, (2) between a record and an OCR-converted source of information and (3) using a combination of these. Second, matching performance at the individual data element level is examined. Third, the performance of duplicate record detection based on matching at the element level is examined through rule-based detection and machine learning-based detection. The results of the experiment show the usefulness of incorporating source of information into duplicate detection to a certain extent.

本文言語English
ページ(範囲)153-168
ページ数16
ジャーナルJournal of Information Science
39
2
DOI
出版ステータスPublished - 2013 4 1

ASJC Scopus subject areas

  • Information Systems
  • Library and Information Sciences

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