Why name ambiguity resolution matters for scholarly big data research

Kim, Jinseok; Diesner, Jana; Kim, Hee‐Jun; Aleyasen, Amirhossein; Kim, Hwan-Min

doi:10.1109/bigdata.2014.7004345

Cited by 7 publications

(8 citation statements)

References 27 publications

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“…Therefore, Scopus Author Identifier is not a reliable source for author assignments. Elsevier itself promotes the use of ORCID instead and offers the possibility to import publication metadata from Scopus to ORCID 10 . Authors might sort out false positives during this step and help to improve the Scopus Author Identifier assignment.…”

Section: Discussionmentioning

confidence: 99%

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Coverage of Author Identifiers in Web of Science and Scopus

Krämer,

Momeni,

Mayr

2017

Preprint

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As digital collections of scientific literature are widespread and used frequently in knowledge-intense working environments, it has become a challenge to identify author names correctly. The treatment of homonyms is crucial for the reliable resolution of author names. Apart from varying handling of first, middle and last names, vendors as well as the digital library community created tools to address the problem of author name disambiguation. This technical report focuses on two widespread collections of scientific literature, Web of Science (WoS) and Scopus, and the coverage with author identification information such as Researcher ID, ORCID and Scopus Author Identifier in the period 1996 -2014. The goal of this study is to describe the significant differences of the two collections with respect to overall distribution of author identifiers and its use across different subject domains. We found that the STM disciplines show the best coverage of author identifiers in our dataset of 6,032,000 publications which are both covered by WoS and Scopus. In our dataset we found 184,823 distinct ResearcherIDs and 70,043 distinct ORCIDs. In the appendix of this report we list a complete overview of all WoS subject areas and the amount of author identifiers in these subject areas.

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Section: Discussionmentioning

confidence: 99%

“…Author name disambiguation has an important effect on bibliometric analysis [14,8], scholarly networks [10] and all other scientometric approches using largescale bibliographic data [13]. Therefore an author identification system with a high accuracy is vital for the further processing on bibliometric data.…”

Section: Introductionmentioning

confidence: 99%

Coverage of Author Identifiers in Web of Science and Scopus

Krämer,

Momeni,

Mayr

2017

Preprint

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“…Big Data algorithms and data collection models are becoming more challenging than ever, where new wearables, data sources, and mobile apps that are being used by patients are increasing tremendously [17,20]. That exponential growth of data will allow MDs to improve diagnoses, prognoses, and therapy through a better understanding of their patients' condition [11]. The impressive signs of progress of Big Data in the medical field [21] will lead to a reassessing of the worldwide view of healthcare systems and organisations [22].…”

Section: Big Data Research In Healthcarementioning

confidence: 99%

“…Even before the current pandemic crisis, the system was witnessing an escalating pressure on hospitals, healthcare facilities, and practitioners to be successively cost-effective [10], with increasing difficulty to justify any additional spending or investment in medical education or MD training [8,11].…”

Section: Introduction and Conceptualisationmentioning

confidence: 99%

The Potential of Big Data Research in HealthCare for Medical Doctors’ Learning

et al. 2021

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“…Two authors may have the same name while one author may use different names. There Kim et al [59] disambiguated the DBLP dataset using these three methods and compared their impact, concluding that author disambiguation can have a substantial influence on data quality and quality of service and analytics performed using the data. A more efficient method for disambiguation makes use of the Random Forest model and considers name, affiliation, email address and coauthors, in addition to several others [89].…”

Section: Author Disambiguationmentioning

confidence: 99%

A survey on scholarly data: From big data perspective

Khan

Liu

Shakil

et al. 2017

Information Processing & Management

116

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With the shifting focus of organizations and governments towards digitization of academic and technical documents, there has been an increasing need to use this reserve of scholarly documents for developing applications that can facilitate and aid in better management of research. In addition to this, the evolving nature of research problems has made them essentially interdisciplinary. As a result, there is a growing need for scholarly applications like collaborator discovery, expert finding and research recommendation systems. This research paper reviews the current trends and identifies the challenges existing in the architecture, services and applications of big scholarly data platform with a specific focus on directions for future research.

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Why name ambiguity resolution matters for scholarly big data research

Cited by 7 publications

References 27 publications

Coverage of Author Identifiers in Web of Science and Scopus

Coverage of Author Identifiers in Web of Science and Scopus

The Potential of Big Data Research in HealthCare for Medical Doctors’ Learning

A survey on scholarly data: From big data perspective

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