Learning Ontology from Object-Relational Database
2015
Andrejs Kauliņš, Arkādijs Borisovs

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.


Atslēgas vārdi
Complex data types, object-relational model, ontology, ontology learning

Kauliņš, A., Borisovs, A. Learning Ontology from Object-Relational Database. Information Technology and Management Science. Nr.18, 2015, 78.-83.lpp. ISSN 2255-9086. e-ISSN 2255-9094.

Publikācijas valoda
English (en)
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