Author disambiguation using multi-aspect similarity indicators

T. Gurney, E. Horlings, P. van den Besselaar

Onderzoeksoutput: Bijdrage aan wetenschappelijk tijdschrift/periodieke uitgaveArtikelWetenschappelijkpeer review

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Samenvatting

Key to accurate bibliometric analyses is the ability to correctly link individuals to their corpus of work, with an optimal balance between precision and recall. We have developed an algorithm that does this disambiguation task with a very high recall and precision. The method addresses the issues of discarded records due to null data fields and their resultant effect on recall, precision and F-measure results. We have implemented a dynamic approach to similarity calculations based on all available data fields. We have also included differences in author contribution and age difference between publications, both of which have meaningful effects on overall similarity measurements, resulting in significantly higher recall and precision of returned records. The results are presented from a test dataset of heterogeneous catalysis publications. Results demonstrate significantly high average F-measure scores and substantial improvements on previous and stand-alone techniques.
Originele taal-2Engels
Pagina's (van-tot)435-449
Aantal pagina's15
TijdschriftScientometrics
Volume91
Nummer van het tijdschrift2
DOI's
StatusGepubliceerd - 2012

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  • Rathenau instituut

    Doorenbos, C.

    02/06/1994 → …

    Project: Onderzoek

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