Terminological Reasoning with Constraint Handling Rules

Thom W. Frühwirth, Philipp Hanschke
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引用次数: 54

Abstract

Constraint handling rules (CHRs) are a flexible means to implement 'user-defined' constraints on top of existing host languages (like Prolog and Lisp). Recently, M. Schmidt-Schaus and G. Smolka proposed a new methodology for constructing sound and complete inference algorithms for terminological knowledge representation formalisms in the tradition of KLONE. We propose CHRs as a flexible implementation language for the consistency test of assertions, which is the basis for all terminological reasoning services. The implementation results in a natural combination of three layers: (i) a constraint layer that reasons in well- understood domains such as rationals or finite domains, (ii) a terminological layer providing a tailored, validated vocabulary on which (iii) the application layer can rely. The flexibility of the approach will be illustrated by extending the formalism, its implementation and an application example (solving configuration problems) with attributes, a new quantifier and concrete domains.
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具有约束处理规则的术语推理
约束处理规则(CHRs)是一种在现有宿主语言(如Prolog和Lisp)之上实现“用户定义”约束的灵活方法。最近,M. Schmidt-Schaus和G. Smolka提出了一种新的方法,用于在KLONE传统的术语知识表示形式中构建健全和完整的推理算法。我们建议将CHRs作为一种灵活的实现语言,用于断言的一致性测试,这是所有术语推理服务的基础。实现的结果是三层的自然组合:(i)约束层,它在很好理解的域(如理性或有限域)中进行推理;(ii)术语层,提供定制的、经过验证的词汇表,(iii)应用层可以依赖它。该方法的灵活性将通过扩展形式化、其实现和一个带有属性、新量词和具体域的应用示例(解决配置问题)来说明。
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