Abstract
Sources of XML documents are proliferating on the Web and documents are more and more frequently exchanged among sources. At the same time, there is an increasing need of exploiting database tools to manage this kind of data. An important novelty of XML is that information on document structures is available on the Web together with the document contents. However, in such an heterogeneous environment as the Web, it is not reasonable to assume that XML documents that enter a source always conform to a predefined DTD in the source. In this paper we address the problem of document classification by proposing a metric for quantifying the structural similarity between an XML document and a DTD. Based on such notion, we propose an approach to match a document entering a source against the set of DTDs available in the source, determining whether a DTD exists similar enough to the document.
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Bertino, E., Guerrini, G., Mesiti, M. (2002). Matching an XML Document against a Set of DTDs. In: Hacid, MS., Raś, Z.W., Zighed, D.A., Kodratoff, Y. (eds) Foundations of Intelligent Systems. ISMIS 2002. Lecture Notes in Computer Science(), vol 2366. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48050-1_45
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DOI: https://doi.org/10.1007/3-540-48050-1_45
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