Towards a Pattern-Based Query Language for Document Databases

被引：1
|
作者：
Li, Xuhui [1 ,2 ,3 ]
Liu, Zhengqi [1 ]
Liu, Mengchi [1 ]
Wu, Xiaoying [1 ]
Zhu, Shanfeng [3 ]
机构：
[1] Wuhan Univ, Comp Sch, State Key Lab Software Engn, Wuhan 430072, Peoples R China
[2] Wuhan Univ, Sch Informat Management, Wuhan 430072, Peoples R China
[3] Fudan Univ, Sch Comp, Shanghai Key Lab Intelligent Informat Proc, Shanghai 200433, Peoples R China
来源：
DATABASE SYSTEMS FOR ADVANCED APPLICATIONS, DASFAA 2015 | 2015年 / 9052卷
关键词：
D O I：
10.1007/978-3-319-22324-7_34
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Document databases are becoming popular, but how to present complex document query to obtain useful information from the document remains an important topic to study. In this paper, we describe the design issues of a pattern-based document database query language named JPQ, which uses various expressive patterns to extract and construct document fragments following a JSON-like document data model. It adopts tree-like extraction patterns with a coherent pattern composition mechanism to extract data elements from hierarchically structured documents and maintain the logical relationships among the elements. Based on these relationships, JPQ deploys a deductive mechanism to declaratively specify the data transformation requests and considers also data filtering on hierarchical data structure.
引用
收藏
页码：320 / 325
页数：6
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