Ontology Building Using Classification Rules and Discovered Concepts

Gorskis Henrihs () and Borisov Arkady ()
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Borisov Arkady: Riga Technical University

Information Technology and Management Science, 2015, vol. 18, issue 1, 37-41

Abstract: 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.

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:itmasc:v:18:y:2015:i:1:p:37-41:n:6

DOI: 10.1515/itms-2015-0006

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