WCSE 2019 SUMMER ISBN: 978-981-14-1684-2
DOI: 10.18178/wcse.2019.06.072

Heterogeneous Ontology Merging Using Formal Concept Analysis

Jaturada Deeying, Wiwat Vatanawood

Abstract— The increasing of ontology usage caused some overlapping ontologies which motivates knowledge engineers to enable the collaborative use of similar ontologies. It introduces the concept of ontology merging. Unfortunately, there are a few researches on heterogeneous ontology merging algorithm and most of them operated in the same or similar domain ontologies. In this paper, we aimed to merge heterogeneous ontologies on relevant domain using Formal Concept Analysis. We took DrugBank and Disease ontologies as our case study. The relationships between drug and disease are presented in this paper in the form of formal lattice. The result of this paper is the merged ontology of the given use case. The result was evaluated by comparing with the medication suggestion. The evaluation shows that the proposed method yielded a correct suggestion accordingly and it will be useful to support knowledge engineer to merge ontologies using corresponded attributes between ontologies

Index Terms— formal concept analysis, ontology merging, heterogeneous ontology merging

Jaturada Deeying, Wiwat Vatanawood
Department of Computer Engineering Faculty of Engineering, Chulalongkorn University, THAILAND


Cite: Jaturada Deeying, Wiwat Vatanawood, "Heterogeneous Ontology Merging Using Formal Concept Analysis," Proceedings of 2019 the 9th International Workshop on Computer Science and Engineering, pp. 482-490, Hong Kong, 15-17 June, 2019.