作者: Cornelia Hedeler , Andreas Oskar Kempf , Jan Steinberg
DOI: 10.1007/978-3-319-25226-1_55
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摘要: Author name disambiguation is becoming increasingly important due to the prevalent availability of publications in digital libraries. Various approaches for author are available, utilising a variety information, e.g., name, affiliation, title, journal and conference or venue, citation, co-author, topic information (Ferreira et al., SIGMOD Rec 41(2), 2012). Topics can be obtained, using subject captured various controlled vocabularies, classifications mappings between them used index (Torvik J Am Soc Inf Sci Technol 56(2):140–158, 2005). Research interests authors, evident topics, might change over time though 2012), thus limit their usefulness disambiguation. Here we present longitudinal analysis topics with respect suitability We analyse distribution headings classification notations taken from Thesaurus (TSS) Classification Social Sciences (CSS) (http://www.gesis.org/en/services/research/thesauri-und-klassifikationen/) research projects literature (available sowiport—http://sowiport.gesis.org maintained by GESIS) changes time. To assess more closely, then annotation selection authors groups at different stages career, also taking into account hierarchical organisation applied vocabularies.