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2017 Volume 32
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ORIGINAL RESEARCH   Open Access    

A survey of author name disambiguation techniques: 2010–2016

  • Department of Computer Science

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  • Abstract: 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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  • Cite this article

    Ijaz Hussain, Sohail Asghar. 2017. A survey of author name disambiguation techniques: 2010–2016. The Knowledge Engineering Review 32(1), doi: 10.1017/S0269888917000182
    Ijaz Hussain, Sohail Asghar. 2017. A survey of author name disambiguation techniques: 2010–2016. The Knowledge Engineering Review 32(1), doi: 10.1017/S0269888917000182
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ORIGINAL RESEARCH   Open Access    

A survey of author name disambiguation techniques: 2010–2016

  • Department of Computer Science

  • Published online: 05 December 2017
The Knowledge Engineering Review  32,  2017, 32(1)  |  Cite this article

Abstract: Abstract: 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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    • The first author is partially supported by a grant of the Higher Education Commission (HEC), Pakistan.

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    Ijaz Hussain, Sohail Asghar. 2017. A survey of author name disambiguation techniques: 2010–2016. The Knowledge Engineering Review 32(1), doi: 10.1017/S0269888917000182
    Ijaz Hussain, Sohail Asghar. 2017. A survey of author name disambiguation techniques: 2010–2016. The Knowledge Engineering Review 32(1), doi: 10.1017/S0269888917000182
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