DOI: 10.18178/wcse.2019.06.072
Heterogeneous Ontology Merging Using Formal Concept Analysis
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.