UnifiedViews: An ETL Framework for Sustainable RDF Data Processing

被引：3
|
作者：
Knap, Tomas [1 ]
Kukhar, Maria [1 ]
Machac, Bohuslav [1 ]
Skoda, Petr [1 ]
Tomes, Jiri [1 ]
Vojt, Jan [1 ]
机构：
[1] Charles Univ Prague, Fac Math & Phys, Dept Software Engn, Prague 11800, Czech Republic
来源：
SEMANTIC WEB: ESWC 2014 SATELLITE EVENTS | 2014年 / 8798卷
关键词：
D O I：
10.1007/978-3-319-11955-7_52
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We present UnifiedViews, an Extract-Transform-Load (ETL) framework that allows users to define, execute, monitor, debug, schedule, and share ETL data processing tasks, which may employ custom plugins created by users. UnifiedViews differs from other ETL frameworks by natively supporting RDF data and ontologies. We are persuaded that UnifiedViews helps RDF/Linked Data consumers to address the problem of sustainable RDF data processing; we support such statement by introducing list of projects and other activities where UnifiedViews is successfully exploited.
引用
收藏
页码：379 / 383
页数：5
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