RDF Event Stream Processing Based on the Publish-Subscribe Pattern

被引：0
|
作者：
Tomaszuk, Dominik [1 ]
机构：
[1] Univ Bialystok, Inst Informat, Ul Konstantego Ciolkowskiego 1M, PL-15245 Bialystok, Poland
来源：
MULTIMEDIA AND NETWORK INFORMATION SYSTEMS, MISSI 2016 | 2017年 / 506卷
关键词：
SPARQL; WEB;
D O I：
10.1007/978-3-319-43982-2_32
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In recent years, RDF event streams have been an increasingly widespread data source in a wide range of domains. Existing systems allow us to automatically record pieces of information concerning everyday fast- paced life. This paper proposes methods of representing and processing RDF streams consisting of RDF graphs with time- varying data annotated by an interval. We introduce a graph- based stream model and a solution for RDF streams processing based on the publishsubscribe interaction scheme. The initial evaluation on our implementation shows that it has great potential.
引用
收藏
页码：369 / 378
页数：10
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