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Research Article | Open Access |

Ontology Learning from Relational Databases: Transforming Recursive Relationships to OWL2 Components

Author 1: Mohammed Reda CHBIHI LOUHDI Author 2: Hicham BEHJA
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 10, No. 10 · Published 2019

DOI: https://doi.org/10.14569/IJACSA.2019.0101037

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Abstract

Relational databases (RDB) are widely used as a backend for information systems, and contain interesting structured data (schema and data). In the case of ontology learning, RDB can be used as knowledge source. Multiple approaches exist for building ontologies from RDB. They mainly use schema mapping to transform RDB components to ontologies. Most existing approaches do not deal with recursive relationships that can encapsulate good semantics. In this paper, two technics are proposed for transforming recursive relationships to OWL2 components: (1) Transitivity mechanism and (2) Concept Hierarchy. The main objective of this work is to build richer ontologies with deep taxonomies from RDB.

Keywords

Relational databases ontologies OWL2 recursive relationship transitivity concept hierarchy

How to Cite this Article

LOUHDI, M. R. C., & BEHJA, H. (2019). Ontology Learning from Relational Databases: Transforming Recursive Relationships to OWL2 Components. International Journal of Advanced Computer Science and Applications, 10(10). https://doi.org/10.14569/IJACSA.2019.0101037

LOUHDI, Mohammed Reda CHBIHI, and Hicham BEHJA. "Ontology Learning from Relational Databases: Transforming Recursive Relationships to OWL2 Components." International Journal of Advanced Computer Science and Applications, vol. 10, no. 10, 2019, https://doi.org/10.14569/IJACSA.2019.0101037.

@article{LOUHDI2019,
  title     = {Ontology Learning from Relational Databases: Transforming Recursive Relationships to OWL2 Components},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {10},
  number    = {10},
  year      = {2019},
  publisher = {The Science and Information Organization},
  author    = {Mohammed Reda CHBIHI LOUHDI and Hicham BEHJA},
  doi       = {10.14569/IJACSA.2019.0101037},
  url       = {https://doi.org/10.14569/IJACSA.2019.0101037}
}

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