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A groundbreaking framework that seamlessly evaluates fuzzy quantification queries across diverse ontological structures, enhancing data retrieval capabilities.
Efficient reasoning under Rational Closure for DL-Lite can be achieved with minimal overhead, transforming how defeasible knowledge is handled in AI applications.
