SimbaQL: A Query Language for Multi-source Heterogeneous Data

被引：1
|
作者：
Li, Yuepeng [1 ,2 ]
Shen, Zhihong [1 ]
Li, Jianhui [1 ]
机构：
[1] Chinese Acad Sci, Comp Network Informat Ctr, Beijing 100190, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
来源：
BIG SCIENTIFIC DATA MANAGEMENT | 2019年 / 11473卷
关键词：
Query language; Heterogeneous data; Scientific data; EXPRESSIVE POWER;
D O I：
10.1007/978-3-030-28061-1_27
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In a data-driven era, scientific discovery by querying integrated heterogeneous data is becoming a popular approach. However, most current search engines retrieve data using SQL, which only addresses part of the common data processing use cases in data discovery for scientific research. Besides, the expressive power of SQL and other popular languages can't describe some simple but useful second order logic queries. Therefore, we first proposed an abstract data processing model which contains four components: data set, data source, data model, and analysis tool. Then, we introduced a unified data model and SimbaQL query language to describe the steps of data processing. At last, we studied two cases by describing the data processing using SimbaQL, and it turns out that SimbaQL can describe these tasks properly.
引用
收藏
页码：275 / 284
页数：10
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