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Ontology alignment process is overwhelmingly cited in Knowledge Engineeringas a key mechanism aimed at bypassing heterogeneity and reconciling variousdata sources, represented by ontologies, i.e., the the Semantic Webcornerstone. In such infrastructures and environments, it is inconceivable toassume that all ontologies covering a particular domain of knowledge arealigned in pairs. Moreover, the high performance of alignment approaches isclosely related to two factors, i.e., time consumption and machine resourcelimitations. Thus, good quality alignments are valuable and it would beappropriate to exploit them. Based on this observation, this article introducesa new method of indirect alignment of ontologies in a cross-lingual context.Indeed, the proposed method deals with alignments of multilingual ontologiesand implements an indirect ontology alignment strategy based on a compositionand reuse of effective direct alignments. The trigger of the proposed methodprocess is based on alignment algebra which governs the semantics compositionof relationships and confidence values. The obtained results, after a thoroughand detailed experiment are very encouraging and highlight many positiveaspects about the new proposed method.

Revisiting Indirect Ontology Alignment : New Challenging Issues in Cross-Lingual Context