Transformation rules from semi-structured XML documents to database model

被引:0
|
作者
Badr, Y [1 ]
Sayah, M [1 ]
Laforest, F [1 ]
Flory, A [1 ]
机构
[1] Inst Natl Sci Appl Lyon, LISI, F-69621 Villeurbanne, France
关键词
D O I
10.1109/AICCSA.2001.933972
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
XML semi-structured documents provide a flexible and natural way to capture data. More often, users exchange documents with others or reuse their data in a wide range of tasks. A direct consequence is a growing need to manage semi-structured documents and to gain conventional database functionality. The aim of our research is the development of a comprehensive capturing and mapping data system that ensures flexible and well-adapted information capture and at the same time efficient information retrieval. A transformation process allows the mapping between the semi-structured document model and the traditional database model. It handles data extraction and data restructuring and deals with data mapping rules to feed traditional databases.
引用
收藏
页码:181 / 184
页数:4
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