Querying RDF and OWL Data Source using SPARQL

被引:0
|
作者
Kumar, Naveen [1 ]
Kumar, Suresh [1 ]
机构
[1] GGSIPU, Dept Comp Sci & Engn, AIACT&R, New Delhi, India
来源
2013 FOURTH INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATIONS AND NETWORKING TECHNOLOGIES (ICCCNT) | 2013年
关键词
SPARQL; Query processing; Query Optimization; Semantic web; RDF; OWL;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The Semantic web is the extension of WWW, "web of document" that provide a support for "web of data" it gives an easier way to find, share, reuse and combine information. The semantic web can be best known as the web of linked data that enables people to create data stores on the web, build vocabularies, and write rules for handling data. It is based on machine-readable information and builds on XML technology's capability to define customized tagging schemes and RDF's (Resource Description Framework) flexible approach to representing data. The key challenge for many semantic web application is to access RDF and OWL data source, as a solution to this challenge, SPARQL, the w3c Recommendation for an RDF query language, supports querying of multiple RDF graphs and OWL data. In this paper we propose a framework for querying RDF data and OWL data using SPARQL. We perform querying the data using "TWINKLE" and "PROTEGE" tool and we also provide an experimental result of improving query performance by optimizing the query.
引用
收藏
页数:6
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