On developing extraction rules for mining informal scientific references from Altmetric data sources
Khawaja, Waqas Taylor, Michael Davis, Brian
Khawaja, Waqas
Taylor, Michael
Davis, Brian
Loading...
Repository DOI
Publication Date
2015-06-04
Type
Conference Paper
Downloads
Citation
Khawaja, Waqas, Taylor, Michael, & Davis, Brian. (2015). On Developing Extraction Rules for Mining Informal Scientific References from Altmetric Data Sources. In Chris Biemann, Siegfried Handschuh, André Freitas, Farid Meziane & Elisabeth Métais (Eds.), Natural Language Processing and Information Systems: 20th International Conference on Applications of Natural Language to Information Systems, NLDB 2015, Passau, Germany, June 17-19, 2015, Proceedings (pp. 443-447). Cham: Springer International Publishing.
Abstract
Altmetrics measure scientific impact outside of traditional scientific literature. We identify mentions of scientific research or entities like researchers, academic or research organizations in a corpus containing blogs, articles, news items etc. We first manually analyse the corpus for patterns of such informal mentions and then apply text mining techniques by developing extraction rules for mining informal mentions. We apply them to our development corpus and present our results. This work takes us closer to developing concrete altmetrics for determining research impact on news and public discourse ultimately leading to measuring impact of scientific research on government policies.
Funder
Publisher
Springer Verlag
Publisher DOI
10.1007/978-3-319-19581-0_44
Rights
Attribution-NonCommercial-NoDerivs 3.0 Ireland