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DOI: 10.14569/IJACSA.2016.071102
PDF

OWLMap: Fully Automatic Mapping of Ontology into Relational Database Schema

Author 1: Humaira Afzal
Author 2: Mahwish Waqas
Author 3: Tabbassum Naz

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 7 Issue 11, 2016.

  • Abstract and Keywords
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Abstract: Semantic web is becoming a controversial issue in current research era. There must be an automated approach to transform ontology constructs into relational database so that it can be queried efficiently. The previous research work based on transformation of RDF/OWL concepts into relational database contains flaws in complete transformation of ontology constructs into relational database. Some researchers claim that their technique of transformation is entirely automated, however their approach of mapping is incomplete and miss essential OWL constructs. This paper presents a tool called OWLMap that is fully automatic and provides lossless approach for transformation of ontology into relational database format. Number of experiments have been performed for ontology to relational database transformation. Experiments show that proposed approach is fully automatic, effective and quick. Our OWLMap is based on an approach that is lossless as well as it does not loose data, data types and structure.

Keywords: Semantic Web; Ontology; Database; Mapping; OWL; Jena API

Humaira Afzal, Mahwish Waqas and Tabbassum Naz, “OWLMap: Fully Automatic Mapping of Ontology into Relational Database Schema” International Journal of Advanced Computer Science and Applications(IJACSA), 7(11), 2016. http://dx.doi.org/10.14569/IJACSA.2016.071102

@article{Afzal2016,
title = {OWLMap: Fully Automatic Mapping of Ontology into Relational Database Schema},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.071102},
url = {http://dx.doi.org/10.14569/IJACSA.2016.071102},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {11},
author = {Humaira Afzal and Mahwish Waqas and Tabbassum Naz}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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