时态RDF扩展及其SPARQL查询语言  

Temporal extension of RDF and its SPARQL query language

作　　者：郭松云 严丽 Guo Songyun;Yan Li(College of Computer Science&Technology,Nanjing University of Aeronautics&Astronautics,Nanjing 211106,China)

机构地区：[1]南京航空航天大学计算机科学与技术学院,南京211106

出　　处：《计算机应用研究》2018年第3期788-794,共7页Application Research of Computers

摘　　要：随着语义网的快速发展以及RDF(资源描述框架)的普遍应用,对含有时间信息的数据处理的需求越来越多,经典RDF模型因其本身结构特点缺乏表示和处理时间信息的能力,而且针对时态RDF的研究罕有得见。通过对经典RDF模型添加时间戳表示其时间维度,并对时态RDF图中的蕴涵问题进行了讨论,根据SPARQL查询语言提出了完备的时态RDF查询语言T-SPARQL,并对提出的查询语言进行了可行性以及性能的实验仿真。利用该时态RDF模型表示如股票、天气、新闻等具有时态特性的资源有优势,T-SPARQL对时态RDF进行查询具有良好的表达力和兼容性。With the rapid development of semantic Web and the widespread application of the RDF(resource description framework),the demand for data processing of time information has become more and more urgent.Due to its structural features,the classical RDF model lacked the ability of representing and processing time information,and also the studies of temporal RDF were rare to see.This paper added time stamps as the time dimension of the classical RDF model,discussed the entailment problem in temporal RDF graph,and proposed a temporal query language for temporal RDF:T-SPARQL.It performed experiment and simulation to test the feasibility and performance of T-SPARQL.Temporal RDF has advantages for representing the resources that has temporal features such as stock,weather,news and so on,and also T-SPARQL shows good expressive power and compatibility with temporal RDF query.

关 键 词：资源描述框架 时态扩展 时态蕴涵 查询语言 

分 类 号：TP301.2[自动化与计算机技术—计算机系统结构]