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Top-Down Query Processing in First-Order Deductive Databases under the DWFS

机译:DWFS下的一阶演绎数据库中的自顶向下查询处理

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摘要

A top-down query-processing method for first-order deductive databases under the disjunctive well-founded semantics (DWFS) is presented. The method is based on a characterization of the DWFS in terms of the Gelfond-Lifschitz transformation and employs a hyperresolution-like operator and quasi-cyclic trees to handle minimal model processing. The method is correct and complete and can be guaranteed to terminate given certain mild constraints on the format of database rules. The efficiency of the method is enhanced by the fact that large parts of the search tree are naturally grounded, even for first-order queries and databases. In the case of a grounded yeso answer, the search tree becomes nongrounded only if processing enters the definite part of the database. For finite propositional databases the method runs in polynomial space. Efficiency may be enhanced by the application of partial compilation.
机译:提出了一种基于析取性良好语义的一阶演绎数据库的自顶向下查询处理方法。该方法基于Gelfond-Lifschitz变换对DWFS的表征,并采用类似于超分辨率的算子和准循环树来处理最少的模型处理。该方法是正确和完整的,并且可以保证在数据库规则格式受到某些轻微限制的情况下终止。搜索树的大部分自然地扎根,即使对于一阶查询和数据库,该方法的效率也得到了提高。如果是肯定/否定答案,则仅当处理进入数据库的确定部分时,搜索树才会变为不接地。对于有限命题数据库,该方法在多项式空间中运行。通过应用部分编译可以提高效率。

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