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Abductive Requery

机译:归纳查询

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摘要

We present an abductive approach to query formulation based on ontology and semantic rule content. Traditional Decision Logic ontologies offer scant opportunity for the application of abductive inference. When augmented by semantic rule languages such as SPIN, however, abduction becomes an attractive possibility for the targeted exploration of potentially large or virtual data sources. We describe a method of pre-processing such rules for use in abductive reasoning. We also describe rule selection and re-query formulation methods once a set ofA-Box statements is presented to the abductive reasoner. Our approach assumes that the majority of A-Box content is virtual, ie, not realized until specifically asked for from non-ontology sources such as databases and/or unstructured text documents.
机译:我们提出了一种基于本体和语义规则内容的查询表述的归纳方法。传统的决策逻辑本体为归纳推理的应用提供了很少的机会。但是,当通过语义规则语言(例如SPIN)进行扩充时,绑架成为有针对性地探索潜在的大型或虚拟数据源的诱人可能性。我们描述了一种用于归纳推理中的预处理此类规则的方法。一旦将一组A-Box语句提供给绑架推理机,我们还将描述规则选择和重新查询公式化方法。我们的方法假设A-Box的大多数内容都是虚拟的,即直到从非本体论源(例如数据库和/或非结构化文本文档)中明确要求才实现。

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