Text and data mining the scientific literature is important. Liberation of numerical data from scanned images such as graphs and phylogenetic trees will free more scientific knowledge for reuse and meta-analysis than ever before, while natural language processing and other text mining tools offer the promise of semantically enhanced articles that could increase the pace of scientific progress and the ease of literature reviews exponentially.
Peter Murray-Rust will discuss the possibilities, the technology and the legal battle that the scientific community faces with publishers and information holders to deploy these technologies and speed up the process of drug discovery, systematic review, cross-discipline linkage and more. We hope you will join us to chat about the possibilities for your research and find out more about this exciting time in scholarly communication.
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