Large and complex ontologies lead to difficulty in usage by humans and causes processing problems with software agents. Modularity has been proposed to address this problem. Current methods and tools can be used to create only some of the existing types of required modules. To augment options for modularisation, we present novel methods to create ve types of abstraction modules: axiom abstraction, vocabulary abstraction, high-level abstraction, weighted abstraction, and feature expressiveness. They have been implemented in the novel tool NOMSA for automated modularisation, which also offers a GUI
