Criteria-based partitioning of large ontologies
Proceedings of the 4th international conference on Knowledge capture
Practical partition-based theorem proving for large knowledge bases
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Distributed Resolution for Expressive Ontology Networks
RR '09 Proceedings of the 3rd International Conference on Web Reasoning and Rule Systems
A priori ontology modularisation in ill-defined domains
Proceedings of the 7th International Conference on Semantic Systems
OntoPart: at the cross-roads of ontology partitioning and scalable ontology alignment systems
International Journal of Metadata, Semantics and Ontologies
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The benefits of modular ontologies in terms of easier creation and maintenance as well as better computational properties have been recognized by different researchers. As most real world ontologies, however, are still designed in a monolithic way, there is a need for methods that partition an existing ontology into a set of modules. Currently, existing work suffers from the fact that the notion of modularization is not as well understood in the context of ontologies as it is in software engineering. In this paper we present a flexible partitioning tool for large ontologies that can be adapted to the needs of different applications based on criteria that the resulting modular ontology should satisfy.