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A case study for understanding the nature of redundant entities in bibliographic digital libraries

A case study for understanding the nature of redundant entities in bibliographic digital libraries Purpose – The purpose of this paper is to collect and understand the nature of real cases of author name variants that have often appeared in bibliographic digital libraries (DLs) as a case study of the name authority control problem in DLs. Design/methodology/approach – To find a sample of name variants across DLs (e.g. DBLP and ACM) and in a single DL (e.g. ACM), the approach is based on two bipartite matching algorithms: Maximum Weighted Bipartite Matching and Maximum Cardinality Bipartite Matching. Findings – First, the authors validated the effectiveness and efficiency of the bipartite matching algorithms. The authors also studied the nature of real cases of author name variants that had been found across DLs (e.g. ACM, CiteSeer and DBLP) and in a single DL. Originality/value – To the best of the authors knowledge, there is less research effort to understand the nature of author name variants shown in DLs. A thorough analysis can help focus research effort on real problems that arise when the authors perform duplicate detection methods. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Program: electronic library and information systems Emerald Publishing

A case study for understanding the nature of redundant entities in bibliographic digital libraries

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Publisher
Emerald Publishing
Copyright
Copyright © 2014 Emerald Group Publishing Limited. All rights reserved.
ISSN
0033-0337
DOI
10.1108/PROG-07-2012-0037
Publisher site
See Article on Publisher Site

Abstract

Purpose – The purpose of this paper is to collect and understand the nature of real cases of author name variants that have often appeared in bibliographic digital libraries (DLs) as a case study of the name authority control problem in DLs. Design/methodology/approach – To find a sample of name variants across DLs (e.g. DBLP and ACM) and in a single DL (e.g. ACM), the approach is based on two bipartite matching algorithms: Maximum Weighted Bipartite Matching and Maximum Cardinality Bipartite Matching. Findings – First, the authors validated the effectiveness and efficiency of the bipartite matching algorithms. The authors also studied the nature of real cases of author name variants that had been found across DLs (e.g. ACM, CiteSeer and DBLP) and in a single DL. Originality/value – To the best of the authors knowledge, there is less research effort to understand the nature of author name variants shown in DLs. A thorough analysis can help focus research effort on real problems that arise when the authors perform duplicate detection methods.

Journal

Program: electronic library and information systemsEmerald Publishing

Published: Jul 1, 2014

Keywords: Digital libraries; Name authority control; Author name variants; Duplicate entities; Matching

References

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