2014International Journal of Research in Engineering and TechnologyOpen access

ROLES AND USAGES OF RDF, SPARQL, ONTOLOGY TOOLS IN SEMANTIC WEB

Rupal Gupta

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Abstract

Semantic web has become as a new version of machine-understandable web including with intelligent search results in order to improve search along with data usage on the global scale.Semantic web vision is to allow intelligent description and interchange of integrated data from various distributed and heterogeneous web resources.A structure for this data on web is known as Resource Description Framework (RDF) where data is stored in the form of XML (Extended Markup Language).For effective and efficient Retrieval of the data from such large RDF, a query language SPARQL (Standard Protocol and RDF Query Language) is used.In this paper, the usages and roles of RDF, SPARQL and Web ontology is shown with illustrations of SPARQL queries along with some optimization heuristics.

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Semantic web has become as a new version of machine-understandable web including with intelligent search results in order to improve search along with data usage on the global scale.Semantic web vision is to allow intelligent description and interchange of integrated data from various distributed and heterogeneous web resources.A structure for this data on web is known as Resource Description Framework (RDF) where data is stored in the form of XML (Extended Markup Language).For effective and efficient Retrieval of the data from such large RDF, a query language SPARQL (Standard Protocol and RDF Query Language) is used.In this paper, the usages and roles of RDF, SPARQL and Web ontology is shown with illustrations of SPARQL queries along with some optimization heuristics.

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Available abstract

Semantic web has become as a new version of machine-understandable web including with intelligent search results in order to improve search along with data usage on the global scale.Semantic web vision is to allow intelligent description and interchange of integrated data from various distributed and heterogeneous web resources.A structure for this data on web is known as Resource Description Framework (RDF) where data is stored in the form of XML (Extended Markup Language).For effective and efficient Retrieval of the data from such large RDF, a query language SPARQL (Standard Protocol and RDF Query Language) is used.In this paper, the usages and roles of RDF, SPARQL and Web ontology is shown with illustrations of SPARQL queries along with some optimization heuristics.

Key concepts: SPARQL, RDF, Named graph, Ontology, Semantic Web, RDF Schema, Computer science, Information retrieval

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