华侨大学学报（自然科学版）Issue(4)：387-391,5.DOI:10.11830/ISSN.1000-5013.2014.04.0387
一组相关XML数据文件的数据类识别方法
Class Identification Method a Group Related of XML Data File
李赛男 1余金山1
作者信息
- 1. 华侨大学 计算机科学与计算学院，福建 厦门 361021
- 折叠
摘要
Abstract
In order to solve the XML binding framework ubiquitous redundant classes generated by the XML schema mapping and data class system large scale,we presented a method of data entity class recognition from a group of related XML data file.The method first extracted XML mode tree a group of XML data files,and each node was represented as a vector in the vector space.Then used their similarity and distance to identify the mode node corresponded to a predefined mode node types.Finally by according to the mode node type to the class mapping rules to obtain the data classes.The results showed that:this method can identify and merger the class that correspond to the same entity to avoid redundant, mapped the collection of XML documents into a generic class and collection class to reduce the size of the generate class system.关键词
类识别/可扩展标记语言/数据绑定/模式树图/节点类型/相似度Key words
class recognition/extensible markup language/data binding/pattern tree diagram/node type/similarity分类
信息技术与安全科学引用本文复制引用
李赛男,余金山..一组相关XML数据文件的数据类识别方法[J].华侨大学学报（自然科学版）,2014,(4):387-391,5.
