Abstract
XML is semi-structured. It can be used to annotate unstructured data, to represent structured data and almost anything in-between. Yet, it is unclear how to formally characterize, yet to quantify, structured-ness of XML. In this paper we propose and evaluate entropy-based metrics for XML structured-ness. The metrics measure the structural uniformity of path and subtrees, respectively. We empirically study the correlation of these metrics with real and synthetic data sets.
Keywords
- Block Street
- Tree Edit Distance
- Twig Pattern
- Synthetic Document
- Student Student
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Tang, R., Wu, H., Bressan, S. (2012). Measuring XML Structured-ness with Entropy. In: Wang, L., Jiang, J., Lu, J., Hong, L., Liu, B. (eds) Web-Age Information Management. WAIM 2011. Lecture Notes in Computer Science, vol 7142. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28635-3_10
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DOI: https://doi.org/10.1007/978-3-642-28635-3_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28634-6
Online ISBN: 978-3-642-28635-3
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