Towards Building Knowledge by Merging Multiple Ontologies with CoMerger:
  A Partitioning-based Approach
  Ontologies are the prime way of organizing data in the Semantic Web. Often,
it is necessary to combine several, independently developed ontologies to
obtain a knowledge graph fully representing a domain of interest. The
complementarity 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 across
domains, scalability becomes a central challenge. A multi-ontology merging
technique offers a potential solution to this problem. We present CoMerger, a
scalable multiple ontologies merging method. For efficient processing, rather
than successively merging complete ontologies pairwise, we group related
concepts across ontologies into partitions and merge first within and then
across those partitions. The experimental results on well-known datasets
confirm the feasibility of our approach and demonstrate its superiority over
binary strategies. A prototypical implementation is freely accessible through a
live web portal.
