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The Expressive Language ALCNHR+K(D) for Knowledge Reasoning

机译:表现力的语言ALCNHR + K(d)用于知识推理

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The Expressive Language ALCNHR+(D) provides conjunction, full negation, quantifiers, number restrictions, role hierarchies, transitively closed roles and concrete domains. In addition to the operators known from ALCNHR+, a restricted existential predicate restriction operator for concrete domains is supported. In order to capture the semantic of complicated knowledge reasoning model, the expressive language ALCNHR+K(D) is introduced. It cannot only be able to represent knowledge about concrete domain and constraints, but also rules in some sense of closed world semantic model hypothesis. The paper investigates an extension to description logic based knowledge reasoning by means o f decomposing and rewriting complicated hybrid concepts into partitions. We present an approach that automatically decomposes the whole knowledge base into description logic compatible and constraints solver. Our arguments are two-fold. First, complex description logics with powerful representation ability lack effectively reasoning ability and second, how to reason with the combination of inferences from distributed heterogeneous reasoner.
机译:表达语言ALCNHR +(D)提供了结合,全否定,量词,数量限制,角色层次结构,过分封闭的角色和混凝土域。除了从ALCNHR +已知的操作员之外,支持用于混凝土域的受限制的存在谓词限制运算符。为了捕获复杂知识推理模型的语义,介绍了表现力的ALCNHR + K(D)。它不能只能代表有关具体领域和约束的知识,而且还可以在某些封闭的世界语义模型假设中规则。该论文通过分解和将复杂的混合概念分解为分区,调查基于逻辑的知识推理的扩展。我们提出了一种自动将整个知识库分解为描述逻辑兼容和约束求解器的方法。我们的论点是两倍。首先,复杂的描述具有强大的表示能力的逻辑缺乏有效推理能力​​和第二,如何推理分布式异构推论者的介绍。

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