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Learning Ontology from Object-Relational Database
2015
Information Technology and Management Science
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 collectionsarrays 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
doi:10.1515/itms-2015-0012
fatcat:5gb6v6ihejdbtjn7hratbmzxe4