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Deep Reading of Kepler’s New Astronomy: An Exercise in Computational History of Science

  • Gerd Graßhoff
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Tools, Techniques, and Technologies
This chapter is in the book Tools, Techniques, and Technologies

Abstract

Deep reading, a newly proposed computational technique for extracting the semantics of scientific texts, offers unprecedented insights into historical works. This method, which analyses both textual content and visual elements, is applied to Johannes Kepler’s Astronomia nova. Through semantic parsing of Kepler’s writing and visual representations, deep reading reveals his step-by-step reasoning, the significance of epicyclic model diagrams, and his conclusions about planetary motion. The technique enables comprehensive examination of large corpora of historical scientific literature, uncovering meanings embedded in both text and images. When implemented in accordance with FAIR data principles, deep reading has the potential to transform research in computational history and philosophy of science, providing new understandings of past scholars’ research processes and knowledge development.

Abstract

Deep reading, a newly proposed computational technique for extracting the semantics of scientific texts, offers unprecedented insights into historical works. This method, which analyses both textual content and visual elements, is applied to Johannes Kepler’s Astronomia nova. Through semantic parsing of Kepler’s writing and visual representations, deep reading reveals his step-by-step reasoning, the significance of epicyclic model diagrams, and his conclusions about planetary motion. The technique enables comprehensive examination of large corpora of historical scientific literature, uncovering meanings embedded in both text and images. When implemented in accordance with FAIR data principles, deep reading has the potential to transform research in computational history and philosophy of science, providing new understandings of past scholars’ research processes and knowledge development.

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