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Rich Linking in a Digital Library of Full-Text Scientific Research Reports
With interactive full-text documents, there are opportunities to take advantage of the structure in scientific research reports which has not been systematically captured. We develop a novel “model-oriented” approach and suggest how that approach may support the development of a new generation of browsers for research reports from the Public Library of Science (PLoS). With full-text we can implement more targeted linking than is possible with monolithic reports. For instance, data sets can be linked directly to the workflows which describe how they were generated and analyzed. Traditional citations can be enhanced by anchoring them to specific points in a cited text. If a reader follows a citation, the model-oriented structure can be used to generate a summary of the target document related to the topic of the citation. In addition, we propose text pre-processing and file standards to facilitate ingest and use of full-text articles