The Impact of Name-Matching and Blocking on Author Disambiguation

Conference paper | Konferenzbeitrag

In this work, we address the problem of blocking in the context of author name disambiguation. We describe a framework that formalizes different ways of name-matching to determine which names could potentially refer to the same author. We focus on name variations that follow from specifying a name with different completeness (i.e. full first name or only initial). We extend this framework by a simple way to define traditional, new and custom blocking schemes. Then, we evaluate different old and new schemes in the Web of Science. In this context we define and compare a new type of blocking schemes. Based on these results, we discuss the question whether name-matching can be used in blocking evaluation as a replacement of annotated author identifiers. Finally, we argue that blocking can have a strong impact on the application and evaluation of author disambiguation.

Object Details

• ISBN: 978-1-4503-6014-2
• Extent: Seite(n): 803-812
• Language: Englisch
• Notes: Status: Veröffentlichungsversion; begutachtet (peer reviewed) ; 27. ACM International Conference on Information and Knowledge Management (CIKM) "From Big Data and Big Information to Big Knowledge". Torino, 2018

References and Relationships

• Bibliographic citation: Proceedings of the 27th ACM Conference on Information and Knowledge Management

Classification and Topics

• Subject: Publizistische Medien, Journalismus,Verlagswesen ; Informationswissenschaft ; Informationssystem ; information retrieval ; Matching ; Computerlinguistik

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Backes, Tobias
• Event: Veröffentlichung
• (who): Association for Computing Machinery (ACM)
• (where): Vereinigte Staaten von Amerika, New York
• (when): 2018

Further information

• DOI: https://doi.org/10.1145/3269206.3271699
• Rights: GESIS - Leibniz-Institut für Sozialwissenschaften. Bibliothek Köln
• Last update: 21.06.2024, 4:26 PM CEST