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Resolution-Based Approximate Reasoning for OWL DL
[chapter]
2005
Lecture Notes in Computer Science
We propose a new technique for approximate ABox reasoning with OWL DL ontologies. Essentially, we obtain substantially improved reasoning performance by disregarding non-Horn features of OWL DL. Our approach comes as a side-product of recent research results concerning a new transformation of OWL DL ontologies into negation-free disjunctive datalog [1, 2, 3, 4], and rests on the idea of performing standard resolution over disjunctive rules by treating them as if they were non-disjunctive ones.
doi:10.1007/11574620_29
fatcat:hanrvk64ojdudmzz3w632rqkcq