Scalable Author Disambiguation for Bibliographic Databases (SCAD)
Undoubtedly, the unambiguous attribution of scholarly material to their authors ranks among the most critical challenges for digital libraries. The main objective of this project is to develop scalable and flexible methods for author disambiguation and to significantly improve author identification within dblp and zbMATH, the two world leading scholarly databases for computer science and mathematics, respectively. Both databases serve as prototypical data repositories in two different scientific fields, offering heterogeneous metadata, including such of historical value.
The cooperation with international partners, namely with the operating institutions of the Chinese platform www.eScience.gov.cn and the Russian mathematics portal www.mathnet.ru, provides a unique opportunity to develop methods for author disambiguation for two very important but extremely difficult languages in this context. The results of this project will be of interest for digital libraries in general.
The project will be conducted together with two project partners (see below) and is funded by the Leibniz-Gemeinschaft in the context of the Leibniz-Competition.
- Funding period: July 1, 2015 – June 30, 2018
- Funding Institution: Leibniz-Gemeinschaft
- Contact: Nicolas Roy (FIZ Karlsruhe)
- Project partners: Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH, Heidelberg Institute for Theoretical Studies (HITS)