Fuzzy based approach to ontology relations alignment

Ontology alignment, although widely researched and discussed, has still some issues that need addressing. One of those is designating alignments of relations defined in two independent ontologies. According to the found literature, this topic is frequently omitted by many state-of-the-art ontology alignment solutions, that focus mainly on aligning concepts. In this paper, we propose a novel approach to designating mappings of ontology relations, which is based on fuzzy logic. It is used to combine several different similarity measures calculated between elements that are used to define relations. The approach has been experimentally verified using the widely accepted datasets provided by Ontology Alignment Evaluation Initiative, yielding promising results.