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

Identifieur interne : 000200 ( Main/Exploration ); précédent : 000199; suivant : 000201

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

Auteurs : Shoichi Taniguchi [Japon]

Source :

RBID : Pascal:13-0299709

Descripteurs français

English descriptors

Abstract

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 perfor- mance 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 (I) 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.


Affiliations:


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Le document en format XML

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<name sortKey="Taniguchi, Shoichi" sort="Taniguchi, Shoichi" uniqKey="Taniguchi S" first="Shoichi" last="Taniguchi">Shoichi Taniguchi</name>
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<s1>School of Library and Information Science, Keio University</s1>
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<country>Japon</country>
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<title level="j" type="main">Journal of information science</title>
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<term>Bibliographic reference</term>
<term>Catalogs</term>
<term>Detection</term>
<term>Information source</term>
<term>Library</term>
<term>Optical character recognition</term>
<term>Title</term>
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<keywords scheme="Pascal" xml:lang="fr">
<term>Référence bibliographique</term>
<term>Détection</term>
<term>Reconnaissance optique caractère</term>
<term>Source information</term>
<term>Bibliothèque</term>
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<div type="abstract" xml:lang="en">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 perfor- mance 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 (I) 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.</div>
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{{Explor lien
   |wiki=    Ticri/CIDE
   |area=    OcrV1
   |flux=    Main
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   |type=    RBID
   |clé=     Pascal:13-0299709
   |texte=   Duplicate bibliographic record detection with an OCR-converted source of information
}}

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