Ontology Building Using Classification Rules and Discovered Concepts
Henrihs Gorskis, Arkādijs Borisovs

Building an ontology is a difficult and time-consuming task. In order to make this task easier and faster, some automatic methods can be employed. This paper examines the feasibility of using rules and concepts discovered during the classification tree building process in the C4.5 algorithm, in a completely automated way, for the purposes of building an ontology from data. By building the ontology directly from continuous data, concepts and relations can be discovered without specific knowledge about the domain. This paper also examines how this method reproduces the classification capabilities of the classification three within an ontology using concepts and class expression axioms.

Building, classification tree, ontology

Gorskis, H., Borisovs, A. Ontology Building Using Classification Rules and Discovered Concepts. Information Technology and Management Science. Vol.18, 2015, pp.37-41. ISSN 2255-9086. e-ISSN 2255-9094.

Publication language
English (en)
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