A Crowdsourcing Approach for Finding Misidentifications of Bibliographic Records
Author(s)
Morishima, Atsuyuki
Shiori, Tomita
Kawashima, Takanori
Harada, Takashi
Uda, Norihiko
Sato, Sho
Abematsu, Yukihiko
Issue Date
2014-03-01
Keyword(s)
crowdsourcing
bibliographic records
human-powered join
Abstract
Because there is no perfect technique for automatic identification of bibliographic records, cleaning the identification results manually is indispensable. However, to recruit human resources for the task is often difficult. This paper discusses a microtask-based crowdsourcing approach to the problem. An important issue is to design a good strategy for generating tasks to be assigned to workers, maintaining the quality and reducing the number of tasks. In this study, we explore a design space defined by two criteria to reduce the number of assigned microtasks for finding misidentifications caused by automatic identification techniques. We compare four task-generation strategies using bibliographic records of the National Diet Library. One of the strategies reduced 55.7% of tasks from the baseline strategy and statistic analysis showed that the quality of its result is comparable to those of the other three strategies.
Publisher
iSchools
Series/Report Name or Number
iConference 2014 Proceedings
Type of Resource
text
Language
en
Permalink
http://hdl.handle.net/2142/47409
DOI
https://doi.org/10.9776/14061
Copyright and License Information
Copyright 2014 is held by the authors of individual items in the proceedings. Copyright permissions, when appropriate, must be obtained directly from the authors.
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