Abstract
Ontology alignment is a necessary step for enabling interoperability between ontology entities and for avoiding redundancy and variation that may occur when integrating them. The automation of bilingual ontology alignment is challenging due to the variation an entity can be expressed in, in different ontologies and languages. The goal of this paper is to compare various ontology alignment methods for matching ontological bilingual Qur'anic resources and to go beyond them, which is achieved via a new hybrid alignment method. The new method consists of aggregating multiple similarity measures for a given pair of concepts into a single value, taking advantage of combining fuzzy bilingual lexical and structure-based methods for improving the performance of automatic ontology alignment.