Modeling semistructured data by the adjacency model

被引:0
|
作者
Töyli, J [1 ]
Linna, M [1 ]
Wanne, M [1 ]
机构
[1] Univ Vaasa, Dept Comp Sci, FIN-65101 Vaasa, Finland
来源
KNOWLEDGE-BASED SOFTWARE ENGINEERING | 2002年 / 80卷
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Semistructured data has been under intensive investigation during the last few years. The main subject of interest has been on the development of new data models and new query languages. The most widely used data model for representing sernistructured data is a graph-like or tree-like structure. The problem is to develop a model which could be all-embracing. In order to develop such a model we have introduced a new model called the Adjacency Model (AM). This model is based on three foundational concepts: the adjacency relation system associated with adjacency defining sets (ARST), the unique ARST's and the valid ARST's. Our model is a general model which can be used to represent semistructured data as well as relational data.
引用
收藏
页码:282 / 290
页数:9
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