"At scale" author name matching with Hadoop MapReduce

Purpose - The purpose of this paper is to describe a process for extracting and matching author names from large collections of bibliographic metadata using the Hadoop implementation of MapReduce. It considers the challenges and risks associated with name matching on such a large-scale and proposes...

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Veröffentlicht in:	Library Hi Tech News Jg. 29; H. 4; S. 6 - 12
Hauptverfasser:	Powell, James, Collins, Linn, Eberhardt, Ariane, Izraelevitz, David, Roman, Jorge, Dufresne, Thomas, Scott, Mark, Blake, Miriam, Grider, Gary
Format:	Journal Article Trade Publication Article
Sprache:	Englisch
Veröffentlicht:	Bradford Emerald Group Publishing Limited 01.01.2012
Schlagworte:	Algorithms Archives & records Authors Big Data Collection Collections Data mining Data processing Errors Graph representations Graphs Heuristic Information systems Libraries Matching Measures Metadata Names Phonetics Semantics Studies Subject headings World problems Writers Metadata Computer systems Libraries Research Bibliographies Information systems
ISSN:	0741-9058, 2054-1678
Online-Zugang:	Volltext
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