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Improving Taxonomy Maintenance: Automated Splitting and Merging of Taxonomies

In Case-Based Reasoning (CBR), taxonomies are often used to model similarities. For complex domains and tasks such taxonomies tend to increase in size making them hard to model and maintain. This especially holds true if a group of people is working on the same taxonomy simultaneously. In this paper, we propose a solution by dividing larger taxonomies into sub-taxonomies, which can be regarded as individual and independent taxonomies. Through compilation, they can be merged and put back into their original context.