XML结构同源性文件集的分类经验
Expériences de classification d'une collection de documents XML de structure homogène
摘要：
本文提出了一些实验，在聚类同质XML文档，以验证现有的分类或更普遍的anorganisational结构。我们的方法集成了从文档中提取知识的技术与文档的无监督分类（聚类）。我们专注于特征选择用于表示文档及其对新兴分类的影响。我们将结构化特征的选择与基于句法特征的精细文本选择相结合，并以2003年的Inria活动报告为例对这种方法进行了说明和评估。目标是根据这些活动报告的关键词或不同章节将项目分组为更大的组（主题）。然后，我们使用不同的特征选择的聚类结果进行比较，与Inria使用的官方主题结构。
英文摘要：
This paper presents some experiments in clustering homogeneous XMLdocuments to validate an existing classification or more generally anorganisational structure. Our approach integrates techniques for extracting knowledge from documents with unsupervised classification (clustering) of documents. We focus on the feature selection used for representing documents and its impact on the emerging classification. We mix the selection of structured features with fine textual selection based on syntactic characteristics.We illustrate and evaluate this approach with a collection of Inria activity reports for the year 2003. The objective is to cluster projects into larger groups (Themes), based on the keywords or different chapters of these activity reports. We then compare the results of clustering using different feature selections, with the official theme structure used by Inria.
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