Clustering XML Elements for Efficient Code Generation

Shah Yaser Maqnoon Nadvi, R. Rahman
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Abstract

Several works [1,2,3] have been reported in literature to cluster XML documents and/or XML Schemas based on structure similarity, semantic similarity, edit distance similarity etc. Our current attempt clusters the elements presented in an XML Schema based on conversion cost that incurs to transform one object to the other. Our strategy would help a dynamic XML compiler to reproduce classes for new elements in C# programming language by modifying existing classes rather generating those from the very beginning.
聚类XML元素以实现高效的代码生成
文献报道了一些基于结构相似度、语义相似度、编辑距离相似度等对XML文档和/或XML schema进行聚类的工作[1,2,3]。我们当前的尝试是根据将一个对象转换为另一个对象的转换成本对XML Schema中呈现的元素进行聚类。我们的策略将帮助动态XML编译器通过修改现有类而不是从头生成类来为c#编程语言中的新元素重新生成类。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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