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.