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An efficient indefiniteness inference scheme in indefinite deductive databases

机译:不定演绎数据库中的有效不定推理方案

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摘要

We introduce an inference scheme, based on the compilation approach, that can answer "true," provable-false," "indefinite," or "assumable-false" to a closed query in an indefinite deductive database under the generalized closed world assumption. The inference scheme proposed in this paper consists of a representation scheme and an evaluation process that uses one of two groups of positive indefinite ground clauses (PIGC's) derivable from the database for a given query. These two groups of PIGC's are base-PIGC's and descendants of base-PIGC's. We prove that the set of base-PIGC's derivable from the database is sufficient to infer the indefiniteness of a query. This newly proposed method offers many advantages over the existing compilation method. This new method outperforms the existing one in terms of the cost of compilation, ease in the handling of updates, and efficiency in query evaluation.
机译:我们引入一种基于编译方法的推理方案,该方案可以在广义封闭世界假设下对不确定的演绎数据库中的封闭查询回答“ true”,“可证明错误”,“不确定”或“ assumable-false”。本文提出的推理方案由一个表示方案和一个评估过程组成,该评估过程使用从数据库派生的两组正不确定基础从句中的一组来进行给定查询,这两组PIGC是基础PIGC和其后代。我们证明了从数据库派生的基本PIGC的集合足以推断查询的不确定性,这种新提出的方法相对于现有的编译方法具有许多优势,该新方法在性能上优于现有的编译方法。的编译成本,简化的更新处理以及查询评估的效率。

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