Scalable Author Disambiguation|for Bibliographic Databases

Description

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 significantly improve author disambiguation within two of the most comprehensive scholarly literature databases: the dblp computer science bibliography, maintained by Schloss Dagstuhl – Leibniz Center for Informatics, and the online service of Zentralblatt MATH (zbMATH), maintained by FIZ Karlsruhe – Leibniz Institute for Information Infrastructure. The corporation with the Heidelberg Institute for Theoretical Studies (HITS), one of the leading institutions in the field of named entity recognition, will help to bridge the gap between the latest results in natural language processing (NLP) research and their concrete application in digital libraries.

 

Cooperation Partners

The Project is a cooperation of

  • Schloss Dagstuhl – Leibniz Center for Informatics
  • FIZ Karlsruhe – Leibniz Institute for Information Infrastructure
  • Heidelberg Institute for Theoretical Studies (HITS)

Furthermore, the project is supported by

  • Russian Academy of Sciences, Moscow, Russia; Portal MathNet.ru
  • State Key Laboratory of Software Development Environment, Beihang, China; Portal eScience.gov.cn

 

Organisation

 

Project Funding

The project is funded by a grant of the Leibniz Competition.

 

Project Duration

July, 2015 – June, 2018

 

 

Homepage

For further information please visit the project wiki.

Project Partners

Databases