Automatic Methods for Disambiguating Author Names in Bibliographic Data Repositories

Ferreira, Anderson A.; Gonçalves, Marcos André; Laender, Alberto H. F.

doi:10.1145/2756406.2756930

Cited by 1 publication

(1 citation statement)

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“…No one has considered the real world situation in which many new authors are publishing. AND techniques should be capable of doing correct predictions about these new authors publications that have not yet published any work (Ferreira et al ., 2015). So, there is also a room for working on this kind of solution that takes into account the new authors situation in DLs.…”

Section: Current Challenges and Future Research Directionsmentioning

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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Section: Current Challenges and Future Research Directionsmentioning

confidence: 99%