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Communication Dans Un Congrès Année : 2020

Change Detection on JATS Academic Articles : An XML Diff Comparison Study

Résumé

XML is currently a well established and widely used document format. It is used as a core data container in collaborative writing suites and other modern information architectures. The extraction and analysis of differences between two XML document versions is an attractive topic, and has already been tackled by several research groups. The goal of this study is to compare 12 existing state-of-the-art and commercial XML diff algorithms by applying them to JATS documents in order to extract and evaluate changes between two versions of the same academic article. Understanding changes between two article versions is important not only regarding data, but also semantics. Change information consumers in our case are editorial teams, and thus they are more generally interested in change semantics than in the exact data changes. The existing algorithms are evaluated on the following aspects: their edit detection suitability for both text and tree changes, execution speed, memory usage and delta file size. The evaluation process is supported by a Python tool available on Github.
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Dates et versions

hal-03714834 , version 1 (05-07-2022)

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Milos Cuculovic, Frederic Fondement, Maxime Devanne, Jonathan Weber, Michel Hassenforder. Change Detection on JATS Academic Articles : An XML Diff Comparison Study. DocEng '20, Sep 2020, En ligne, United States. ⟨10.1145/3395027.3419581⟩. ⟨hal-03714834⟩

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