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Learning Ontology from Object-Relational Database

Author

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  • Kaulins Andrejs
  • Borisov Arkady

    (Riga Technical University)

Abstract

This article describes a method of transformation of object-relational model into ontology. The offered method uses learning rules for such complex data types as object tables and collections – arrays of a variable size, as well as nested tables. Object types and their transformation into ontologies are insufficiently considered in scientific literature. This fact served as motivation for the authors to investigate this issue and to write the article on this matter. In the beginning, we acquaint the reader with complex data types and object-oriented databases. Then we describe an algorithm of transformation of complex data types into ontologies. At the end of the article, some examples of ontologies described in the OWL language are given.

Suggested Citation

  • Kaulins Andrejs & Borisov Arkady, 2015. "Learning Ontology from Object-Relational Database," Information Technology and Management Science, Sciendo, vol. 18(1), pages 78-83, December.
    • Handle: RePEc:vrs:itmasc:v:18:y:2015:i:1:p:78-83:n:12
    DOI: 10.1515/itms-2015-0012
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