Abstract
Literature-Based Discovery (LBD) refers to a range of approaches that take a body of scientific literature as the input, apply a series of computational, manual, or a hybrid processes, and finally generate hypotheses that are potentially novel and meaningful for further investigations. This chapter introduces the origin of LBD, its major landmark studies, available tools, and resources. In particular, we explain the design and application of PKD4J to illustrate the principles and analytic decisions one typically needs to make. We highlight the recent developments in this area and outline remaining challenges.
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Chen, C., Song, M. (2017). Literature-Based Discovery. In: Representing Scientific Knowledge. Springer, Cham. https://doi.org/10.1007/978-3-319-62543-0_7
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DOI: https://doi.org/10.1007/978-3-319-62543-0_7
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