Weiler H, Meyer-Wegener K, Mele S (2011)
Publication Language: English
Publication Type: Conference contribution, Original article
Publication year: 2011
Publisher: ACM
Edited Volumes: International Conference on Information and Knowledge Management, Proceedings
City/Town: New York
Pages Range: 2293-2296
Conference Proceedings Title: Proc. 20th ACM Conf. on Information and Knowledge Management
Event location: Glasgow, Scotland, UK
ISBN: 978-1-4503-0717-8
A collaboration of leading research centers in the field of High Energy Physics (HEP) has built INSPIRE, a novel information infrastructure, which comprises the entire corpus of about one million documents produced within the discipline, including a rich set of metadata, citation information and half a million full-text documents, and offers a unique opportunity for author disambiguation strategies. The presented approach features extended metadata comparison metrics and a three-step unsupervised graph clustering technique. The algorithm aided in identifying 200'000 individuals from 6'500'000 author signatures. Preliminary tests based on knowledge of external experts and a pilot of a crowd-sourcing system show a success rate of more than 96% within the selected test cases. The obtained author clusters serve as a recommendation for INSPIRE users to further clean the publication list in a crowd-sourced approach. © 2011 ACM.
APA:
Weiler, H., Meyer-Wegener, K., & Mele, S. (2011). Authormagic - An Approach to Author Disambiguation in Large-Scale Digital Libraries. In Proc. 20th ACM Conf. on Information and Knowledge Management (pp. 2293-2296). Glasgow, Scotland, UK, GB: New York: ACM.
MLA:
Weiler, Henning, Klaus Meyer-Wegener, and Salvatore Mele. "Authormagic - An Approach to Author Disambiguation in Large-Scale Digital Libraries." Proceedings of the CIKM 2011, Glasgow, Scotland, UK New York: ACM, 2011. 2293-2296.
BibTeX: Download