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Ontologies are the prime way of organizing data in the Semantic Web. Often,it is necessary to combine several, independently developed ontologies toobtain a knowledge graph fully representing a domain of interest. Thecomplementarity of existing ontologies can be leveraged by merging them.Existing approaches for ontology merging mostly implement a binary merge.However, with the growing number and size of relevant ontologies acrossdomains, scalability becomes a central challenge. A multi-ontology mergingtechnique offers a potential solution to this problem. We present CoMerger, ascalable multiple ontologies merging method. For efficient processing, ratherthan successively merging complete ontologies pairwise, we group relatedconcepts across ontologies into partitions and merge first within and thenacross those partitions. The experimental results on well-known datasetsconfirm the feasibility of our approach and demonstrate its superiority overbinary strategies. A prototypical implementation is freely accessible through alive web portal.

Towards Building Knowledge by Merging Multiple Ontologies with CoMerger: A Partitioning-based Approach