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Consequence-Based Reasoning beyond Horn Ontologies

机译:基于结果的推理超越了Horn本体论

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Consequence-based ontology reasoning procedures have so far been known only for Horn ontology languages. A difficulty in extending such procedures is that non-Horn axioms seem to require reasoning by case, which causes non-determinism in tableau-based procedures. In this paper we present a consequence-based procedure for ACCH that overcomes this difficulty by using rules similar to ordered resolution to deal with disjunctive axioms in a deterministic way; it retains all the favourable attributes of existing consequence-based procedures, such as goal-directed "one pass" classification, optimal worst-case complexity, and "pay-as-you-go" behaviour. Our preliminary empirical evaluation suggests that the procedure scales well to non-Horn ontologies.
机译:迄今为止,仅基于Horn本体语言才知道基于结果的本体推理程序。扩展此类过程的困难在于,非洪恩公理似乎需要根据情况进行推理,这会导致基于表格的过程不确定。在本文中,我们提出了一种基于结果的ACCH程序,该程序通过使用类似于有序分辨率的规则以确定性方式处理析取公理来克服此难题。它保留了现有的基于结果的过程的所有有利属性,例如目标导向的“一次通过”分类,最佳的最坏情况复杂度和“现收现付”行为。我们的初步经验评估表明,该程序可以很好地适用于非Horn本体。

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