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Computing Only Minimal Answers In Disjunctive Deductive Databases

机译:在析取演绎数据库中仅计算最小答案

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摘要

A method is presented for computing minimal answers of the form V A in disjunctive deductive databases under the disjunctive stable model semantics. Such answers are constructed by repeatedly extending partial answers. Our method is complete (in that every minimal answer can be computed) and does not admit redundancy (in the sense that every partial answer generated can be extended to a minimal answer), thus no non-minimal answer is generated. The method does not (necessarily) require the computation of models of the database in their entirety. A partitioning of the database into extensional and intensional components is employed in order to overcome the problems caused by the possible non-existence of disjunctive stable models, and a form of compilation is presented as a means of simplifying and improving the efficiency of the run-time computation, which then reduces to relatively trivial processing within the extensional database. In addition, the output from this compilation process has the significant advantage of being immune to updates to the extensional database. Other forms of database preprocessing are also considered, and three transformations are presented mapping a database onto an equivalent positive database, non-disjunctive database, and set of conditional facts.
机译:提出了一种在析取稳定模型语义下计算析取演绎数据库中形式为VA的最小答案的方法。通过反复扩展部分答案来构造这样的答案。我们的方法是完整的(因为可以计算出每个最小答案),并且不允许冗余(从某种意义上说,生成的每个部分答案都可以扩展到最小答案),因此不会生成非最小答案。该方法不需要(不必要)完整地计算数据库模型。为了解决由分离稳定模型可能不存在引起的问题,采用了将数据库分为扩展和扩展组件的方法,并提出了一种编译形式,作为简化和提高运行效率的一种方法。时间计算,然后减少到扩展数据库中相对琐碎的处理。此外,此编译过程的输出具有显着的优势,即不受扩展数据库更新的影响。还考虑了其​​他形式的数据库预处理,并提出了三种转换,将数据库映射到等效的肯定数据库,非析取数据库和条件事实集。

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