Authors: Kyung-Bin Lim; Hee-Gook Jun; Hyoung-Joo Kim
Addresses: School of Computer Science and Engineering, Seoul National University, Seoul, South Korea ' School of Computer Science and Engineering, Seoul National University, Seoul, South Korea ' School of Computer Science and Engineering, Seoul National University, Seoul, South Korea
Abstract: RDB2RDF approaches have been proposed and standardised by W3C, which publishes relational data to semantic web by converting relational data into RDF formatted data. We propose a system that automatically transforms relational data into RDF data and creates OWL ontology based on the schema of database. Some approaches have been proposed, but most of them did not fully make use of schema information to extract rich semantics, nor did they experiment on large databases for performance. We utilise Hadoop framework in transformation process, which enables distributed system for scalability. We present mapping rules that implement augmented direct mapping to create local ontology with rich semantics. The results show that our system successfully transforms relational data into RDF data with OWL ontology, with satisfactory performance on large-sized databases.
Keywords: semantic web; RDB2RDF; MapReduce; Hadoop; OWL ontology; semantics; RDB to RDF transformation; relational databases; relational data; distributed systems; augmented direct mapping.
International Journal of Metadata, Semantics and Ontologies, 2015 Vol.10 No.4, pp.229 - 239
Received: 11 Jul 2015
Accepted: 01 Nov 2015
Published online: 15 Feb 2016 *