TY  - JOUR
U1  - Zeitschriftenartikel, wissenschaftlich - begutachtet (reviewed)
A1  - Müller, Mark-Christoph
A1  - Reitz, Florian
A1  - Roy, Nicolas
T1  - Data sets for author name disambiguation: an empirical analysis and a new resource
JF  - Scientometrics
N2  - Data sets of publication meta data with manually disambiguated author names play an important role in current author name disambiguation (AND) research. We review the most important data sets used so far, and compare their respective advantages and shortcomings. From the results of this review, we derive a set of general requirements to future AND data sets. These include both trivial requirements, like absence of errors and preservation of author order, and more substantial ones, like full disambiguation and adequate representation of publications with a small number of authors and highly variable author names. On the basis of these requirements, we create and make publicly available a new AND data set, SCAD-zbMATH. Both the quantitative analysis of this data set and the results of our initial AND experiments with a naive baseline algorithm show the SCAD-zbMATH data set to be considerably different from existing ones. We consider it a useful new resource that will challenge the state of the art in AND and benefit the AND research community.
KW  - author name disambiguation
KW  - author name homography
KW  - author name variability
KW  - data sets
KW  - digital libraries
KW  - Empirische Forschung
KW  - Datensatz
KW  - Metadaten
KW  - Autor
KW  - Veröffentlichung
KW  - Quantitative Analyse
KW  - Homographie
KW  - Elektronische Bibliothek
KW  - SCAD-zbMATH
Y1  - 2017
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-110871
SN  - 1588-2861
SS  - 1588-2861
U6  - https://doi.org/10.1007/s11192-017-2363-5
DO  - https://doi.org/10.1007/s11192-017-2363-5
VL  - 111
IS  - 3
SP  - 1467
EP  - 1500
PB  - Springer Nature
CY  - Berlin
ER  -