Abstract
Several efficient and very powerful algorithms exist for detecting changes in tree-based textual documents, such as those encoded in XML. An important aspect is still underestimated in their design and implementation: the quality of the output, in terms of readability, clearness and accuracy for human users. Such requirement is particularly relevant when diff-ing literary documents, such as books, articles, reviews, acts, and so on. This paper introduces the concept of ’naturalness’ in diff-ing tree-based textual documents, and discusses a new extensible set of changes which can and should be detected. A naturalness-based algorithm is presented, as well as its application for diff-ing XML-encoded legislative documents. The algorithm, called JNDiff, proved to detect significantly better matchings (since new operations are recognized) and to be very efficient.
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Di Iorio, A., Schirinzi, M., Vitali, F., Marchetti, C. (2009). A Natural and Multi-layered Approach to Detect Changes in Tree-Based Textual Documents. In: Filipe, J., Cordeiro, J. (eds) Enterprise Information Systems. ICEIS 2009. Lecture Notes in Business Information Processing, vol 24. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01347-8_8
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DOI: https://doi.org/10.1007/978-3-642-01347-8_8
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