Title :
Querying RDF and OWL data source using SPARQL
Author :
Kumar, Narendra ; Kumar, Sudhakar
Author_Institution :
Dept. of Comput. Sci. & Eng., GGSIPU, New Delhi, India
Abstract :
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.
Keywords :
XML; knowledge representation languages; query languages; query processing; semantic Web; OWL data source; PROTEGE tool; RDF data querying; RDF graph; RDF query language; SPARQL; TWINKLE tool; W3C; World Wide Web; XML technology; customized tagging scheme; machine-readable information; resource description framework; semantic Web; OWL; Ontologies; Optimization; Query processing; Resource description framework; XML; OWL; Query Optimization; Query processing; RDF; SPARQL; Semantic web;
Conference_Titel :
Computing, Communications and Networking Technologies (ICCCNT),2013 Fourth International Conference on
Conference_Location :
Tiruchengode
Print_ISBN :
978-1-4799-3925-1
DOI :
10.1109/ICCCNT.2013.6726698