Working with Text

Chapter 4

Responsible Content Mining

J. Molloy^⁎; M. Haeussler^†; P. Murray-Rust^⁎; C. Oppenheim^{‡    ⁎} University of Cambridge, Cambridge, UK^† University of California, Santa Cruz, CA, USA^‡ Queensland University, Brisbane, Australia

Abstract

The prospect of widespread content mining of the scholarly literature is emerging, driven by the promise of increased permissions due to copyright reform in countries such as the UK and the support of some publishers, particularly those that publish open access-journals. In parallel, the growing software tool set for mining, and the availability of ontologies such as DBPedia mean that many scientists can start to mine the literature with relatively few technical barriers.

We believe that content mining can ...