Author Disambiguation Using Co-Author Network and Supervised Learning Approach in Scholarly Data

Seol, Jae-Wook; Lee, Seok-Hyoung; Kim, Kwang-Young

doi:10.14257/ijseia.2016.10.4.08

Cited by 6 publications

(1 citation statement)

References 13 publications

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“…However, their proposed taxonomy is not comprehensive enough and is insufficient in the current literature. We propose a comprehensive taxonomy of AND techniques according to the used methodology—ML techniques (Wang et al ., 2011; Huynh et al ., 2013; Imran et al ., 2013; Tran et al ., 2014; Han et al ., 2015; Seol et al ., 2016) that have been further subdivided into three categories, and non-ML techniques (Fan et al ., 2011; Wang et al ., 2011; Tang et al ., 2012; Shin et al ., 2014) into two subcategories. Moreover, these all surveys reviewed the techniques up to the year 2012.…”

Section: Introductionmentioning

confidence: 99%

A survey of author name disambiguation techniques: 2010–2016

Hussain

Asghar

2017

The Knowledge Engineering Review

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Digital libraries content and quality of services are badly affected by the author name ambiguity problem in the citations and it is considered as one of the hardest problems faced by the digital library researchers. Several techniques have been proposed in the literature for the author name ambiguity problem. In this paper, we reviewed some recently presented author name disambiguation techniques and give some challenges and future research directions. We analyze the recent advancements in this field and classify these techniques into supervised, unsupervised, semi-supervised, graph-based and heuristic-based techniques according to their problem formulation that is mainly used for the author name disambiguation. A few surveys have been conducted to review different techniques for the author name disambiguation. These surveys highlighted only the methodology adopted for author name disambiguation but did not critically review their shortcomings. This survey provides a detailed review of author name disambiguation techniques available in the literature, makes a comparison of these techniques at an abstract level and discusses their limitations.

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