Pubworld-A R2rml Mapping Driven Approach To Transform Relational Database Data Into Shareable Format

Abstract

Availability of publications data is significant in research development and a global publications data in semantic web will help research community in great manner. W3C has provided a semantic web standard termed as RDB to RDF Mapping Language(R2RML). R2RML allows us to express mappings to be customized from relational database to RDF database. This paper discusses a convergence approach-PubWorld using R2RML that generate r2rml mapping files from three disparate relational databases- two for publication and one for world database. Publications data are made shareable directly from mapping file by converting into local ontologies and merging the local ontologies along with one existing ontology into one global ontology. The Header-Dictionary-Triples(HDT) compression technique is used for storing the global ontology to achieve large spatial savings. Simple Protocol and RDF Query Language(SPARQL) queries using Jena ARQ(And RDF Query) on both RDF and HDT version shows similar running time.