In the verification experiments, the SWRL rules were successfully and efficiently inserted into the OWL-based ontologies, obtaining completely correct query results. SWRL rules are directly inserted into the ontologies by several steps of model transformations instead of using a specific editor. In this paper, we propose a rule-based reasoner for inferring and providing query services based on OWL and SWRL. Fortunately, the Semantic Web Rule Language (SWRL) has strong rule representation capabilities. However, OWL has expressivity limitations on representing general rules, especially the statement “If … Then … Else …”. With the help of OWL, heterogeneous underwater robots are able to cooperate with each other by exchanging information with the same meaning and robot operators can organize the coordination easier. It is widely used to express complex models and address information heterogeneity of specific domains, such as underwater environments and robots. Web Ontology Language (OWL) is designed to represent varied knowledge about things and the relationships of things.
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